Registry of Open Data on AWS

PhysioNet

Amazon Web Services is collaborating with PhysioNet to make biomedical and clinical data freely available to the research community and to enable reproducible, data-driven research that improves human health.

Search datasets (currently 13 matching datasets)

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Unless specifically stated in the applicable dataset documentation, datasets available through the Registry of Open Data on AWS are not provided and maintained by AWS. Datasets are provided and maintained by a variety of third parties under a variety of licenses. Please check dataset licenses and related documentation to determine if a dataset may be used for your application.

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MIMIC-III (‘Medical Information Mart for Intensive Care’)

bioinformaticshealthlife sciencesnatural language processingus

MIMIC-III (‘Medical Information Mart for Intensive Care’) is a large, single-center database comprising information relating to patients admitted to critical care units at a large tertiary care hospital. Data includes vital signs, medications, laboratory measurements, observations and notes charted by care providers, fluid balance, procedure codes, diagnostic codes, imaging reports, hospital length of stay, survival data, and more. The database supports applications including academic and industrial research, quality improvement initiatives, and higher education coursework. The MIMIC-I...

Usage examples

Building predictive disease models using Amazon SageMaker with Amazon HealthLake normalized data by Ujjwal Ratan, Nihir Chadderwala, and Parminder Bhatia
Perform biomedical informatics without a database using MIMIC-III data and Amazon Athena by James Wiggins, Alistair Johnson
MIMIC-code GitHub repository by Alistair Johnson

See 3 usage examples →

2018 IEEE BHI and BSN Data Challenge

healthlife sciencesmedicine

In collaboration with the IEEE Conference on Biomedical and Health Informatics (BHI) 2018 and the IEEE Conference on Body Sensor Networks (BSN), we are hosting a challenge to explore real clinical questions in critically ill patients using the MIMIC-III database. Participants in the challenge will be invited to present at the BHI & BSN Annual Conference in Las Vegas, USA (4-7 March 2018): https://bhi-bsn.embs.org/2018/

A Cardiovascular Simulator for Research

healthlife sciencesmedicine

We introduce here the Research CardioVascular SIMulator (RCVSIM) software in order to complement research with the experimental data sets provided by PhysioBank. The human cardiovascular model upon which RCVSIM is based includes three major components. The first component is a lumped parameter model of the pulsatile heart and circulation. The second component is a short-term regulatory system model which includes an arterial baroreflex system, a cardiopulmonary baroreflex system, and a direct neural coupling mechanism between respiration and heart rate.

A Comprehensive Dataset of Pattern Electroretinograms for Ocular Electrophysiology Research: The PERG-IOBA Dataset

healthlife sciencesmedicine

The pattern electroretinogram (PERG) is a valuable tool in ophthalmic electrophysiology, offering a non-invasive and objective method to evaluate central retinal function. By measuring electrical activity in the macula and retinal ganglion cells, PERG provides essential quantitative insights, especially when distinguishing between macular and optic nerve diseases remains challenging. This dataset comprises 1354 transient PERG responses from 304 subjects in 336 records, representing a comprehensive collection of ocular electrophysiological data. The evaluations took place at the Institute of Ap...

A Multi-Modal Satellite Imagery Dataset for Public Health Analysis in Colombia

healthlife sciencesmedicine

We introduce a cost-effective public health analysis solution for low- and middle-income countries—the Multi-Modal Satellite Imagery Dataset in Colombia. By leveraging high-quality, spatiotemporally aligned satellite images and corresponding metadata, the dataset integrates economic, demographic, meteorological, and epidemiological data. Employing a single forwards and a forward-backward technique ensures clear satellite images with minimal cloud cover for every epi-week, significantly enhancing overall data quality. The extraction process utilizes the satellite extractor package powered by th...

A Pressure Map Dataset for In-bed Posture Classification

healthlife sciencesmedicine

In this project, we collected in-bed posture pressure data from multiple adult participants using two different types of pressure sensing mats. To the best of our knowledge, our dataset, PmatData is the first publicly-available dataset of pressure sensor data which includes various sleeping postures. PmatData contains pressure data from two separate experiments.

A Wearable Exam Stress Dataset for Predicting Cognitive Performance in Real-World Settings

healthlife sciencesmedicine

Preliminary datasets containing skin conductance recordings where experiments involve artificial stimuli are available online. However, recordings of a longer duration acquired during real-world cognitive stressors are lacking significantly. This dataset seeks to bridge the gap between a body of knowledge concerning the human stress response primarily built up on laboratory acquired data, and how people’s skin conductance fluctuates in reality when they undergo a stressful exam experience. The data contains electrodermal activity, heart rate, blood volume pulse, skin surface temperature, inter...

A large scale 12-lead electrocardiogram database for arrhythmia study

healthlife sciencesmedicine

This newly inaugurated research database for 12-lead electrocardiogram (ECG) signals was created under the auspices of Chapman University, Shaoxing People’s Hospital (Shaoxing Hospital Zhejiang University School of Medicine), and Ningbo First Hospital. It aims to enable the scientific community in conducting new studies on arrhythmia and other cardiovascular conditions. Certain types of arrhythmias, such as atrial fibrillation, have a pronounced negative impact on public health, quality of life, and medical expenditures. As a non-invasive test, ECG is a major and vital diagnostic tool for dete...

A multi-camera and multimodal dataset for posture and gait analysis

healthlife sciencesmedicine

Gait and posture analysis while using assisting robotic devices is of utmost importance to attain effective assistance. This work provides a multi-camera, multimodal, and detailed dataset for vision-based applications using a wheeled robotic walker equipped with a pair of affordable cameras. Depth data was acquired at 30 fps from a total of 14 healthy participants walking at 3 different gait speeds, across 3 different walking scenarios/paths at 3 different locations. Simultaneously, accurate skeleton joint data was recorded using an inertial-based commercial motion capture system that provides...

A multimodal gait dataset of brain activity, muscle activity, kinematics and ground forces in young adults

healthlife sciencesmedicine

Gait is a fundamental motor function, and its analysis is essential for understanding locomotor control, rehabilitation, and the early detection of neurological and musculoskeletal disorders. While many datasets capture either biomechanical or neural aspects of gait, publicly available multimodal datasets that integrate brain, muscle, kinematic, and ground reaction force recordings remain scarce. This limitation restricts advances in modeling neuromechanical interactions and the development of machine learning approaches for gait classification and rehabilitation technologies. To address this ...

A practical method for calculating Lyapunov exponents from small data sets

healthlife sciencesmedicine

Detecting the presence of chaos in a dynamical system is an important problem that is solved by measuring the largest Lyapunov exponent. Lyapunov exponents quantify the exponential divergence of initially close state-space trajectories and estimate the amount of chaos in a system.

AF Classification from a Short Single Lead ECG Recording: The PhysioNet/Computing in Cardiology Challenge 2017

healthlife sciencesmedicine

The 2017 PhysioNet/CinC Challenge aims to encourage the development of algorithms to classify, from a single short ECG lead recording (between 30 s and 60 s in length), whether the recording shows normal sinus rhythm, atrial fibrillation (AF), an alternative rhythm, or is too noisy to be classified.

AF Termination Challenge Database

healthlife sciencesmedicine

This database of two-channel ECG recordings has been created for use in the Computers in Cardiology Challenge 2004, an open competition with the goal of developing automated methods for predicting spontaneous termination of atrial fibrillation (AF).

AFVP - A Realistic Ventricular Rhythm Model During AF

healthlife sciencesmedicine

AFVP generates a synthesized beat-to-beat interval sequence of ventricular excitations with a realistic structure observed during AF.

AHA Database Sample Excluded Record

healthlife sciencesmedicine

The files available here are not part of the AHA Database. The 0001.* and 0201.* files have been derived from a sample given to us in 1980 by the creators of the AHA Database. The original recording had been a candidate for inclusion in the database and was digitized and annotated using the same methods used for the AHA Database records. After the annotation process was complete, the recording was excluded from the AHA Database since it was found to contain ectopy of a higher grade than the class for which it had been chosen as a candidate.

ANSI/AAMI EC13 Test Waveforms

healthlife sciencesmedicine

The files in this set can be used for testing a variety of devices that monitor the electrocardiogram. The recordings include both synthetic and real waveforms.

Abdominal and Direct Fetal ECG Database

healthlife sciencesmedicine

The research material included in the Abdominal and Direct Fetal Electrocardiogram Database contains multichannel fetal electrocardiogram (FECG) recordings obtained from 5 different women in labor, between 38 and 41 weeks of gestation. The recordings were acquired in the Department of Obstetrics at the Medical University of Silesia, by means of the KOMPOREL system for acquisition and analysis of fetal electrocardiogram (ITAM Institute, Zabrze, Poland). Each recording comprises four differential signals acquired from maternal abdomen and the reference direct fetal electrocardiogram registered f...

Annotated dataset of post-ischemic ventricular tachycardia electrograms (ARGO)

healthlife sciencesmedicine

The analysis and identification of abnormal ventricular potentials (AVPs) in intracardiac electrograms (EGMs) are paramount in radiofrequency catheter ablation (RFCA) of post-ischemic ventricular tachycardia (VT). The ARGO dataset represents the first open-access dataset of post-ischemic VT EGMs featuring invasive and noninvasive electrophysiological recordings, as well as electroanatomical (EA) map data, including data annotation by three expert electrophysiologists and their final consensus. The dataset includes unipolar and bipolar EGMs, 12-lead surface ECGs, and EA maps, for a total of 196...

Apnea Detection from the ECG

healthlife sciencesmedicine

Hilbert Transform based Sleep Apnea Detection using a Single Lead Electrocardiogram.

Apnea-ECG Database

healthlife sciencesmedicine

The data consist of 70 records, divided into a learning set of 35 records (a01 through a20, b01 through b05, and c01 through c10), and a test set of 35 records (x01 through x35), all of which may be downloaded from this page. Recordings vary in length from slightly less than 7 hours to nearly 10 hours each. Each recording includes a continuous digitized ECG signal, a set of apnea annotations (derived by human experts on the basis of simultaneously recorded respiration and related signals), and a set of machine-generated QRS annotations (in which all beats regardless of type have been labeled n...

Auditory evoked potential EEG-Biometric dataset

healthlife sciencesmedicine

This data set consists of over 240 two-minute EEG recordings obtained from 20 volunteers. Resting-state and auditory stimuli experiments are included in the data. The goal is to develop an EEG-based Biometric system. The data includes resting-state EEG signals in both cases: eyes open and eyes closed. The auditory stimuli part consists of six experiments; Three with in-ear auditory stimuli and another three with bone-conducting auditory stimuli. The three stimuli for each case are a native song, a non-native song, and neutral music.

Automated Detection and Removal of Pacing Artifacts from ECG Signal

healthlife sciencesmedicine

Pacing artifacts in electrocardiogram (ECG) signals can interfere with accurate waveform analysis, making their detection and removal essential for reliable interpretation. We present an algorithm and provide MATLAB code to detect and remove pacing artifacts from raw digital 12-lead ECG recordings. The algorithm was developed using the Chronic Renal Insufficiency Cohort (CRIC) data, which includes 493 paced ECGs, and validated on an external dataset (273 paced ECGs). A graphical user interface (GUI) was designed to allow user-friendly quality control of automated algorithm performance. Users c...

Autonomic Aging: A dataset to quantify changes of cardiovascular autonomic function during healthy aging

healthlife sciencesmedicine

Autonomic function regulating blood pressure and cardiac rhythm progressively declines with increasing age. Impaired cardiovascular control promotes a variety of age-related conditions such as dementia, or Alzheimer’s disease. This study aims to provide a database of high-resolution biological signals to describe the effect of healthy aging on cardiovascular regulation. Electrocardiogram and continuous non-invasive blood pressure signals were recorded simultaneously at rest in 1,121 healthy volunteers.

BIDMC Congestive Heart Failure Database

healthlife sciencesmedicine

This database includes long-term ECG recordings from 15 subjects (11 men, aged 22 to 71, and 4 women, aged 54 to 63) with severe congestive heart failure (NYHA class 3–4). This group of subjects was part of a larger study group receiving conventional medical therapy prior to receiving the oral inotropic agent, milrinone.

BIG IDEAs Lab Glycemic Variability and Wearable Device Data

healthlife sciencesmedicine

This study aimed to determine the feasibility and effectiveness of wearable devices in detecting early physiological changes prior to the development of prediabetes [1-3]. The study generated digital biomarkers for remote, mHealth-based prediabetes and hyperglycemia risk to classify which individuals should undergo further clinical testing. The primary inclusion criteria were subjects aged 35-65 years, inclusive, including only post-menopausal females, with a point of care A1C measurement between 5.2-6.4%, inclusive. Blood was collected during the study for measurement of glucose, hemoglobin A...

Blood Pressure in Salt-Sensitive Dahl Rats

healthlife sciencesmedicine

This database contains continuous blood pressure recordings for 9 Dahl SS rats and 6 Dahl SS.13BN rats, under high and low salt conditions.

Body Sway When Standing and Listening to Music Modified to Reinforce Virtual Reality Environment Motion

healthlife sciencesmedicine

The increased likelihood of falls as a consequence of aging or disease is generally associated with rising levels of body sway during stance. The use of virtual reality (VR) for studying the role in vision in regulating body sway is well established, however the extent to which music incorporated into a virtual environment can influence sway is not understood. This dataset was collected as part of a study to explore the hypothesis that music manipulated to match VR motion provided by an Oculus Rift head mounted display can lead to increased levels of body sway. Twenty-eight subjects stood for ...

Brain Hemorrhage Extended (BHX): Bounding box extrapolation from thick to thin slice CT images

healthlife sciencesmedicine

BHX is a public available dataset with bounding box annotations for 5 types of acute hemorrhage as an extension of the qure.ai CQ500 dataset. This dataset intends to provide data resources to help advance hemorrhage detection towards machine learning localization tasks. Key Points: BHX contains up to 39,668 bounding boxes in 23,409 images annotated for hemorrhage, out of a total of ~170k images from qure.ai CQ500 dataset. The dataset was built through an efficient method to obtain automatic annotated images (thin slices) from sparse initial labeling (thick slices). We hope this dataset can con...

Brno University of Technology ECG Quality Database (BUT QDB)

healthlife sciencesmedicine

BUT QDB is a database created by the cardiology team at the Department of Biomedical Engineering, Brno University of Technology, for the purpose of evaluating ECG quality. The data comprises 18 long-term recordings of single-lead ECGs and associated 3-axis accelerometer data, collected from 15 subjects (9 female, 6 male) aged between 21 to 83 years. Recordings were carried out between August 2018 and October 2019 while the subjects were undertaking ordinary everyday activities ("free-living conditions"). Data was collected using a mobile ECG and accelerometer (Bittium Faros 180) with...

Brno University of Technology ECG Signal Database with Annotations of P Wave (BUT PDB)

healthlife sciencesmedicine

Brno University of Technology ECG Signal Database with Annotations of P Wave (BUT PDB) is an ECG signal database with marked peaks of P waves created by the cardiology team at the Department of Biomedical Engineering, Brno University of Technology. The database consists of 50 2-minute 2-lead ECG signal records with various types of pathology. The ECGs were selected from three existing databases of ECG signal - the MIT-BIH Arrhythmia Database, the MIT-BIH Supraventricular Arrhythmia Database, and the Long Term AF Database. The P waves positions were manually annotated by two ECG experts in all ...

Brno University of Technology Smartphone PPG Database (BUT PPG)

healthlife sciencesmedicine

Brno University of Technology Smartphone PPG Database (BUT PPG) is a database created by the cardiology team at the Department of Biomedical Engineering, Brno University of Technology, for the purpose of evaluating PPG quality and estimation of heart rate (HR). The data comprises 3,888 10-second recordings of PPGs and associated ECG signals used for determination of reference HR. All of the signals contain QRS complex positions, most signals contain moreover accelerometric data (ACC), and single-value annotations of blood pressure, blood oxygen saturation and glycaemia. The data were collected...

Brugada-HUCA: 12-Lead ECG Recordings for the Study of Brugada Syndrome

healthlife sciencesmedicine

We present a novel dataset of 12-lead electrocardiogram (ECG) recordings developed to support the study and classification of Brugada syndrome, a rare but potentially fatal cardiac arrhythmia. The data were collected retrospectively from patients evaluated at the Cardiology Department of the Hospital Universitario Central de Asturias (HUCA) and reviewed by clinical experts. Diagnostic labels were assigned according to internationally accepted criteria. The dataset comprises 363 subjects in total, including 76 patients diagnosed with Brugada syndrome and 287 healthy control subjects. Each recor...

CAP Sleep Database

healthlife sciencesmedicine

The CAP Sleep Database is a collection of 108 polysomnographic recordings registered at the Sleep Disorders Center of the Ospedale Maggiore of Parma, Italy. The waveforms (contained in the .edf files of the database) include at least 3 EEG channels (F3 or F4, C3 or C4 and O1 or O2, referred to A1 or A2), EOG (2 channels), EMG of the submentalis muscle, bilateral anterior tibial EMG, respiration signals (airflow, abdominal and thoracic effort and SaO2) and EKG. Additional traces include EEG bipolar traces, according to the 10-20 international system (Fp1-F3, F3-C3, C3-P3, P3-O1 and/or Fp2-F4, F...

CAST RR Interval Sub-Study Database

healthlife sciencesmedicine

The Cardiac Arrhythmia Suppression Trial (CAST) was a landmark NHLBI-sponsored study designed to test the hypothesis that the suppression of asymptomatic or mildly symptomatic ventricular premature complexes (PVCs) in survivors of myocardial infarction (MI) would decrease the number of deaths from ventricular arrhythmias and improve survival. Enrollment required an acute MI within the preceding 2 years and 6 or more PVCs per hour during a pre-treatment (qualifying) long-term ECG (Holter) recording. Those subjects enrolled within 90 days of the index MI were required to have left ventricular ej...

CGMacros: a scientific dataset for personalized nutrition and diet monitoring

healthlife sciencesmedicine

We present CGMacros, a dataset containing multimodal information from two continuous glucose monitors (CGM), food macronutrients, food photographs, and physical activity, in addition to anonymized participant demographics, anthropometric measurements and health parameters from blood analyses and gut microbiome profiles. CGMacros contains data from 45 study participants (15 healthy adults, 16 with pre-diabetes, and 14 with Type 2 diabetes) who consumed meals with varying and known macronutrient compositions in a free-living setting for ten consecutive days. To our knowledge, this is the first d...

CHARIS database

healthlife sciencesmedicine

The CHARIS database contains multi-channel recordings of ECG, arterial blood pressure (ABP), and intracranial pressure (ICP) of patients diagnosed with traumatic brain injury (TBI). The data is contributed by members of the CHARIS project which aims to systematize the analysis of relevant physiological signals, and create data-driven algorithms to search for potential predictors of acute clinical events for patients with acute brain injury.

CHB-MIT Scalp EEG Database

healthlife sciencesmedicine

This database, collected at the Children’s Hospital Boston, consists of EEG recordings from pediatric subjects with intractable seizures. Subjects were monitored for up to several days following withdrawal of anti-seizure medication in order to characterize their seizures and assess their candidacy for surgical intervention. The recordings are grouped into 23 cases and were collected from 22 subjects (5 males, ages 3–22; and 17 females, ages 1.5–19).

CPAP Pressure and Flow Data from a Local Trial of 30 Adults at the University of Canterbury

healthlife sciencesmedicine

A pressure and flow dataset for CPAP (continuous positive airway pressure) breathing obtained from 30 subjects for model-based identification of patient-specific lung mechanics using a specially designed sensor system comprising an array of differential pressure sensors (Sensirion AG SDP816-125PA) and gauge pressure sensors (NXP MPVZ4006GW7U). Relevant medical information was collected using a questionnaire, including: sex; age; weight; height; smoking history; and history of asthma. Subjects were tasked with breathing at five different rates (including passive) from very slow to very fast bre...

CTU-CHB Intrapartum Cardiotocography Database

healthlife sciencesmedicine

This database, from the Czech Technical University (CTU) in Prague and the University Hospital in Brno (UHB), contains 552 cardiotocography (CTG) recordings, which were carefully selected from 9164 recordings collected between 2010 and 2012 at UHB.

CU Ventricular Tachyarrhythmia Database

healthlife sciencesmedicine

This database includes 35 eight-minute ECG recordings of human subjects who experienced episodes of sustained ventricular tachycardia, ventricular flutter, and ventricular fibrillation.

CUILESS2016

healthlife sciencesmedicine

The Concept Unique Identifier (CUI)-less database contains a corpus of "CUI-less" concepts taken from the SemEval2015 Task 14 that have been assigned CUIs. The annotation process allows assignment of CUIS from any Unified Medical Language System (UMLS) semantic group and compositional normalization using more than one CUI per disease entity. Concepts are mapped to SNOMED CT as represented in the September 2016 version found in Unified Medical Language System (UMLS) 2016AB.

CVSim

healthlife sciencesmedicine

CVSim is a lumped-parameter model of the human cardiovascular system that has been developed and used for research and for teaching quantitative physiology courses at MIT and Harvard Medical School since 1984. The versions presented here have a graphical user interface implemented in Java, with computational components in C.

Cardiorespiratory measurement from graded cycloergometer exercise testing

healthlife sciencesmedicine

The present database is an ensemble of cardiorespiratory measurements acquired during 18 cycloergometer maximal graded exercise tests performed in the "Adaptation, Climat Tropical, Exercice et Santé" (ACTES) laboratory of the French West Indies University. Data correspond to heart R-wave to R-wave intervals, Oxygen consumption, and mechanical power output on a beat-to-beat basis recorded all along the graded exercise test sessions. Participants are 18 teenagers athletes (15.2±2 years) from the Regional Physical and Sports Education Centre (CREPS) of French West Indies (Guadeloupe, Fr...

Cerebral Haemodynamic Autoregulatory Information System GUI

healthlife sciencesmedicine

Acute Brain injury (ABI) is a devastating event requiring intensive acute treatment and post-injury rehabilitation, both delivered for indeterminate periods of time. For severe ABIs, acute treatment is aimed at stabilizing the patient to prevent secondary brain injury from ischemia and swelling. This requires a balance between adequate levels of cerebral blood flow and safely low intracranial pressure (ICP) - a task normally done by autoregulatory (AR) processes of the brain. In the absence of normal AR, hemodynamic stability is difficult to maintain because there are no reliable predictors to...

Cerebral Vasoregulation in Diabetes

healthlife sciencesmedicine

This observational study evaluated the effects of type 2 diabetes on cerebral vasoregulation and functional outcomes, measured by blood flow responses to hypocapnia and hypercapnia, Valsalva maneuver, head-up tilt, and sit-to-stand test. This dataset contains 37 diabetic participants and 49 controls (aged 55 to 75 years) with continuous measurements of cerebral blood flow using transcranial Doppler and MRI, heart rate, blood pressure, and respiratory parameters, balance, walking, laboratory and retinopathy measures.

Cerebral Vasoregulation in Elderly with Stroke

healthlife sciencesmedicine

This database contains multimodal data from a large study investigating the effects of ischemic stroke on cerebral vasoregulation. The cross sectional study compared 60 subjects who suffered strokes, to 60 control subjects, collecting the following data for each patient across multiple days: transcranial doppler of cerebral arteries, 24-h blood pressure numerics, high resolution waveforms (ECG, blood pressure, CO2 and respiration) during various movement tasks, 24-h ECG, EMG, and accelerometer recordings, and gait pressure recordings during a walking test.

Cerebromicrovascular Disease in Elderly with Diabetes

healthlife sciencesmedicine

This dataset was collected as part of a prospective observational study to evaluate the effects of type 2 diabetes mellitus (DM) on cerebral vasoregulation, perfusion and functional outcomes, measured by blood flow responses to hypocapnia and hypercapnia, Valsalva maneuver, head-up tilt, and sit-to-stand test. The dataset comprises of observations from 69 diabetic and control participants (aged 55 to 75 years) with continuous measurements of cerebral blood flow using transcranial Doppler and MRI (magnetic resonance imaging), heart rate, blood pressure, and respiratory parameters, balance, walk...

CiPA ECG Validation Study

healthlife sciencesmedicine

ECG effects of ranolazine, verapamil, lopinavir+ritonavir, chloroquine, dofetilide, diltiazem, and dofetilide+diltiazem in a small sample size clinical study. The ECGCIPA database contains multi-channel ECG recordings of 60 subjects participating in the CiPA ECG validation study.

Classification of Heart Sound Recordings: The PhysioNet/Computing in Cardiology Challenge 2016

healthlife sciencesmedicine

The 2016 PhysioNet/CinC Challenge aims to encourage the development of algorithms to classify heart sound recordings collected from a variety of clinical or nonclinical (such as in-home visits) environments. The aim is to identify, from a single short recording (10-60s) from a single precordial location, whether the subject of the recording should be referred on for an expert diagnosis.

CogWear: Can we detect cognitive effort with consumer-grade wearables?

healthlife sciencesmedicine

The CogWear database consists of two datasets: pilot and survey gamification experiment. The pilot dataset includes physiological signals from 11 volunteers captured by three wearable devices (Empatica E4 watch, Samsung Galaxy Watch4 and Muse S EEG headband) during cognitively demanding task (Stroop test) and baseline condition (no engagement in any activity). The pilot dataset was collected to evaluate the experimental setup and the signal captured by the wearables. In particular, can we detect when people perform a cognitively demanding task using data from consumer-grade smartwatches. The s...

Combined measurement of ECG, Breathing and Seismocardiograms

healthlife sciencesmedicine

This database contains the combined measurement of ECG, breathing and seismocardiogram from 20 healthy volunteers. The purpose of the database was twofold: To check if slight errors in the detection of the RR time series when measuring it using two different leads are influenced by breathing. To compare the RR time series obtained from the ECG and its surrogate measure obtained from the seismocardiogram or SCG (and to optimize beat detectors for SCG).

Congestive Heart Failure RR Interval Database

healthlife sciencesmedicine

This database includes beat annotation files for 29 long-term ECG recordings of subjects aged 34 to 79, with congestive heart failure (NYHA classes I, II, and III).

Data Chromatix

healthlife sciencesmedicine

Analysis of biomedical time series plays a key role in clinical management and basic investigation. However, most conventional monitors streaming data in real-time show only the most recent values, not referenced to past dynamics. The proposed visualization method (termed “data chromatix”) was developed to address this challenge by bringing memory of the system’s past behavior into the current display window. The function DataChromatix.m (version 1.0) assigns a color to each data point of a time series. The color is determined by the values of a normalized histogram (estimated probability dens...

Detecting and Quantifying Apnea Based on the ECG: The PhysioNet/Computing in Cardiology Challenge 2000

healthlife sciencesmedicine

Obstructive sleep apnea (intermittent cessation of breathing) is a common problem with major health implications, ranging from excessive daytime drowsiness to serious cardiac arrhythmias. Obstructive sleep apnea is associated with increased risks of high blood pressure, myocardial infarction, and stroke, and with increased mortality rates. Standard methods for detecting and quantifying sleep apnea are based on respiration monitoring, which often disturbs or interferes with sleep and is generally expensive. A number of studies during the past 15 years have hinted at the possibility of detecting...

Detecting and Quantifying T-Wave Alternans: The PhysioNet/Computing in Cardiology Challenge 2008

healthlife sciencesmedicine

The ninth annual PhysioNet/Computers in Cardiology Challenge aims to improve understanding of methods for identification and analysis of T-wave alternans in the ECG.

Detrended Fluctuation Analysis

healthlife sciencesmedicine

The method of detrended fluctuation analysis has proven useful in revealing the extent of long-range correlations in time series.

Digital Data Real-Time Ingestion Utility

healthlife sciencesmedicine

We present a Python-based utility for real-time ingestion of digital physiological signals and study enrollment metadata into an Oracle database. The application combines filesystem event monitoring, a GUI data entry form, and thin-mode Oracle connectivity to ensure timely and accurate data capture at the point of file creation. The system is designed for research assistants to enter metadata for digital signal recordings (e.g., ECG, PCG, and other physiological datasets), with automated database field assignments (e.g., study_date, study_id) and compliance with pre-defined enumerations and co...

Distinguishing Ischemic from Non-Ischemic ST Changes: The PhysioNet/Computing in Cardiology Challenge 2003

healthlife sciencesmedicine

For the fourth annual PhysioNet/Computers in Cardiology Challenge, we propose a provocative question of considerable clinical interest: Is it possible to tell the difference between transient ST changes in the ECG that are due to myocardial ischemia, and those that are not?

Dynamical Density Delay Maps

healthlife sciencesmedicine

This project contains Matlab functions for visualizing the behavior of complex systems by means of the dynamical density delay mapping ("D3-Map") technique . This simple-to-implement visualization method provides an animated representation of a system's dynamics.

ECG Effects of Ranolazine, Dofetilide, Verapamil, and Quinidine

healthlife sciencesmedicine

The ECGRDVQ database contains multi-channel ECG recordings of 22 healthy subjects partaking in a randomized, double‐blind, 5‐period crossover clinical trial aimed at comparing the effects of four known QT prolonging drugs versus placebo on electrophysiological and other clinical parameters.

ECG Fragment Database for the Exploration of Dangerous Arrhythmia

healthlife sciencesmedicine

The database contains a set of 2 second fragments of ECG signals with rhythm disturbances, which are grouped into separate classes according to the degree of threat to the patient's life. It is intended for practical use to develop and test the efficiency of algorithms for detecting dangerous arrhythmias for continuous monitoring systems. The “MIT-BIH Malignant Ventricular Ectopy Database” (MVED) was selected as the primary source of ECG records. This database contains heart rhythm disturbances necessary for research and is widely used for testing and comparative analysis of various algori...

ECG waveform generator for Matlab/Octave

healthlife sciencesmedicine

ECGwaveGen generates a synthesized ECG signal with user-settable heart rate, signal duration, sampling frequency, QRS amplitude and duration, and T-wave amplitude; it uses QRSpulse to create premature beats followed by compensatory pauses.

ECG-Derived Respiration

healthlife sciencesmedicine

The ECG-Derived Respiration (EDR) technique is an approach to obtain a respiration signal from an ECG.. It is based on the observation that the positions of ECG electrodes on the chest surface move relative to the heart, and transthoracic impedance varies, as the lungs fill and empty. Thus the lead axes vary at different points in the respiratory cycle, and any sufficiently precise measurement of the mean cardiac electrical axis shows variations that are correlated with respiration. This method is particularly effective if two or more ECG signals are available, but a single lead is sufficient....

ECG-ID Database

healthlife sciencesmedicine

The database contains 310 ECG recordings, obtained from 90 persons. Each recording contains: ECG lead I, recorded for 20 seconds, digitized at 500 Hz with 12-bit resolution over a nominal ±10 mV range; 10 annotated beats (unaudited R- and T-wave peaks annotations from an automated detector); information (in the .hea file for the record) containing age, gender and recording date.

ECG-Kit

healthlife sciencesmedicine

This toolbox is a collection of Matlab tools that Mariano Llamedo Soria used, adapted or developed during his PhD and post-doc work with the Besicos group at University of Zaragoza, Spain and at the National Technological University of Buenos Aires, Argentina.

ECGPUWAVE

healthlife sciencesmedicine

ecgpuwave analyses an ECG signal from the specified record, detecting the QRS complexes and locating the beginning, peak, and end of the P, QRS, and ST-T waveforms. The output of ecgpuwave is written as a standard WFDB-format annotation file associated with the specified annotator.

ECGSYN - A realistic ECG waveform generator

healthlife sciencesmedicine

ECGSYN generates a synthesized ECG signal with user-settable mean heart rate, number of beats, sampling frequency, waveform morphology (P, Q, R, S, and T timing, amplitude,and duration), standard deviation of the RR interval, and LF/HF ratio (a measure of the relative contributions of the low and high frequency components of the RR time series to total heart rate variability).

EEG During Mental Arithmetic Tasks

healthlife sciencesmedicine

The database contains EEG recordings of subjects before and during the performance of mental arithmetic tasks.

EEG Motor Movement/Imagery Dataset

healthlife sciencesmedicine

The EEG Motor Movement/Imagery Dataset provides 64-channel electroencephalography recordings collected with the BCI2000 system during real and imagined motor tasks. Participants completed 14 experimental runs, including two one-minute baseline recordings with eyes open and eyes closed, followed by three repetitions of four two-minute task conditions. These conditions involved either executing or imagining unilateral fist movements in response to left/right visual targets, or executing or imagining bilateral fist or foot movements in response to top/bottom visual targets. EEG signals were recor...

EEG Signals from an RSVP Task

healthlife sciencesmedicine

This project contains EEG data from 11 healthy participants upon rapid presentation of images through the Rapid Serial Visual Presentation (RSVP) protocol at speeds of 5, 6, and 10 Hz.

EPHNOGRAM: A Simultaneous Electrocardiogram and Phonocardiogram Database

healthlife sciencesmedicine

The electro-phono-cardiogram (EPHNOGRAM) project focused on the development of low-cost and low-power devices for recording simultaneous electrocardiogram (ECG) and phonocardiogram (ECG) data, with auxiliary channels for capturing environmental audio noise, which could be used for PCG quality enhancement through signal processing. The current database, recorded by version 2.1 of the developed hardware, has been acquired from 24 healthy adults aged between 23 and 29 (average: 25.4 ± 1.9 years) in 30min stress-test sessions during resting, walking, running and biking conditions, using indoor fit...

ERP-based Brain-Computer Interface recordings

healthlife sciencesmedicine

This dataset — created and contributed by Luca Citi, Riccardo Poli, and Caterina Cinel — was generated as part of a study aimed at identifying the factors limiting the performance of brain-computer interfaces (BCIs) based on event-related potentials (ERPs), in order to improve the transfer rate and the usability of these interfaces. In this study, each participant was asked to spell a total of 20 characters using a traditional matrix speller (shown at left). Each record in the dataset contains the signals, triggers and annotations corresponding to a single run, i.e. the spelling of a single ch...

EVAL_ST Tool

healthlife sciencesmedicine

The EVAL_ST tool is an open source tool to evaluate and compare performance and robustness of ST episode detection algorithms. The tool supports all standard and other relevant performance measures, aggregate gross and average statistics, and bootstrap statistical procedure to predict real-world clinical performance. The tool (written in C) is compilable an a wide variety of platforms and contains an additional graphic user interface module (LessTif/Motif environment) for use on the LINUX/UNIX operating systems.

Early Prediction of Sepsis from Clinical Data: The PhysioNet/Computing in Cardiology Challenge 2019

healthlife sciencesmedicine

Sepsis is a life-threatening condition that occurs when the body's response to infection causes tissue damage, organ failure, or death (Singer et al., 2016). In the U.S., nearly 1.7 million people develop sepsis and 270,000 people die from sepsis each year; over one third of people who die in U.S. hospitals have sepsis (CDC). Internationally, an estimated 30 million people develop sepsis and 6 million people die from sepsis each year; an estimated 4.2 million newborns and children are affected (WHO). Sepsis costs U.S. hospitals more than any other health condition at $24 billion (13% of U....

Effect of 24-hour sleep deprivation on cerebral hemodynamics and cognitive performance

healthlife sciencesmedicine

Sleep deprivation (SD) is associated with decreased cognitive performance, but the underlying mechanisms are poorly understood. To assess the impact of SD on cerebral hemodynamics in the frontal lobe, functional near-infrared spectroscopy (fNIRS) measurements were carried out on young subjects. Ten young healthy adults (males, age of 27.6±3.7 years, one left-handed participant) were recruited for this study conducted in 2018 at University of Oklahoma, Translational Geroscience Laboratory. The examination protocol began with assessment of cognitive performance with the aid of Cambridge Neuropsy...

Effect of Deep Brain Stimulation on Parkinsonian Tremor

healthlife sciencesmedicine

The recordings of this database are of rest tremor velocity in the index finger of 16 subjects with Parkinson's disease (PD) who receive chronic high frequency electrical deep brain stimulation (DBS).

Electrocardiogram, skin conductance and respiration from spider-fearful individuals watching spider video clips

healthlife sciencesmedicine

This project contains electrocardiogram, skin conductance and respiration as raw data (unfiltered, unprocessed) recorded from consented, spider-fearful individuals using the wearable BITalino biosignal measurement device (PLUX – Wireless Biosignals S.A., Lisbon, Portugal) with the sampling rate set to 100 Hz per channel having 10-bit resolution. All subjects were introduced to the exposure procedure and rationale that is mainly based on the principles of the one-session exposure treatment. The main focus of this study was to investigate if the use of an HRV biofeedback intervention could be a ...

Electrocardiographic Imaging of Myocardial Infarction: The PhysioNet/Computing in Cardiology Challenge 2007

healthlife sciencesmedicine

The aim of Challenge 2007 is to establish how well one can characterize the location and extent of moderate to large, relatively compact infarcts using electrocardiographic evidence (supplemented by a model of the torso geometry and conductivity), in comparison with a "gold standard" expert analysis of gadolinium-enhanced MRI data.

Electroencephalogram and eye-gaze datasets for robot-assisted surgery performance evaluation

healthlife sciencesmedicine

Surgical training and patient safety depend on objective and accurate performance evaluation. Robot-assisted surgery (RAS) is newer and its training less well defined, but resources are not easily accessed to support data collection from participants with various RAS skill levels. This work describes and makes available for public use electroencephalogram (EEG) and eye-gaze data collected from 25 participants performing RAS simulator tasks with varying levels of RAS experience.Twenty-seven tasks from six modules of the da Vinci®;Skills Simulator ™, which are standard elements of most RAS surgi...

Epicardially attached cardiac accelerometer data from canines and porcines

healthlife sciencesmedicine

The database contains acceleration signals from accelerometers attached directly on the epicardium in canines and porcines during various interventions that altered cardiac function and myocardial motion. The tri-axial accelerometer was attached in the anterior, apical region of the left ventricle (LV). The database contains a total of 289 recordings from 19 canines and 27 porcines with an average duration of 15 seconds, ranging from 5 to 30 seconds. Acceleration data was recorded simultaneously with ECG and LV pressure (LVP).

Estimating Activity from Instantaneous Heart Rate

healthlife sciencesmedicine

Using only a heart rate time series, it is possible to measure a number of features that reflect the level of physical activity. Here we provide software for deriving an "activity index" based on measurements of mean heart rate, total power of the instantaneous heart rate time series over a given interval, and stationarity.

European ST-T Database

healthlife sciencesmedicine

The European ST-T Database is intended to be used for evaluation of algorithms for analysis of ST and T-wave changes. This database consists of 90 annotated excerpts of ambulatory ECG recordings from 79 subjects. The subjects were 70 men aged 30 to 84, and 8 women aged 55 to 71.

Evoked Auditory Responses in Heading Impaired

healthlife sciencesmedicine

The Evoked Auditory Responses in Hearing Impaired database contains evoked Auditory Brainstem Response (ABR) and Otoacoustic Emission (OAE) recordings in eight hearing impaired listeners, in response to tone-burst stimuli across a wide range of levels.

Evoked Auditory Responses in Normals

healthlife sciencesmedicine

This database, created and contributed by Michael J. Epstein and Ikaro Silva, was generated as part of a study examining evoked potentials and loudness growth. The database consists of two sets of physiological signals: auditory brainstem response (ABR) and otoacoustic emissions (OAE) and two sets of psychoacoustical estimates of loudness as a function of peak sound pressure level (peSPL).

Examples of Electromyograms

healthlife sciencesmedicine

An electromyogram (EMG) is a common clinical test used to assess function of muscles and the nerves that control them. EMG studies are used to help in the diagnosis and management of disorders such as the muscular dystrophies and neuropathies. Nerve conduction studies that measure how well and how fast the nerves conduct impulses are often performed in conjunction with EMG studies. Examples of EMG studies (courtesy of Seward Rutkove, MD, Department of Neurology, Beth Israel Deaconess Medical Center/Harvard Medical School) are given here.

Eye Tracking Dataset for the 12-Lead Electrocardiogram Interpretation of Medical Practitioners and Students

healthlife sciencesmedicine

This dataset contains collected eye tracking data from medical practitioners and students with different expertise levels to understand their electrocardiogram interpretation behavior. These medical practitioners encounter electrocardiograms during their daily medical practice. The end goal of the collection of this dataset was to use it for analysis to uncover insights about key best practices as well as pitfall in the ECG interpretation process. The data consists of quantitative eye tracking measurements for different eye gaze features for 63 participants. These participants belong to six ex...

FECGSYN Toolbox

healthlife sciencesmedicine

The FECGSYN toolbox is a reference open-source platform for NI-FECG research, product of a collaboration between the Department of Engineering Science, University of Oxford (DES-OX), the Institute of Biomedical Engineering, TU Dresden (IBMT-TUD) and the Biomedical Engineering Faculty at the Technion Israel Institute of Technology (BME-IIT).

Facial and oral temperature data from a large set of human subject volunteers

healthlife sciencesmedicine

To evaluate the benefit of implementing standardized deployment and acquisition practices in the measurement of elevated body temperature (EBT) with infrared thermographs (IRTs), we conducted a clinical study with more than one thousand subjects. Subject oral temperatures were measured and facial thermal images captured with two evaluated IRTs. Based on the thermal images, temperatures from different locations on the face were extracted based on developed method and are listed in six CSV file as the open database. All data in these files has been de-identified. Based on these data, we publishe...

Fantasia Database

healthlife sciencesmedicine

Twenty young (21 - 34 years old) and twenty elderly (68 - 85 years old) rigorously-screened healthy subjects underwent 120 minutes of continuous supine resting while continuous electrocardiographic (ECG), and respiration signals were collected; in half of each group, the recordings also include an uncalibrated continuous non-invasive blood pressure signal. Each subgroup of subjects includes equal numbers of men and women.

Fetal ECG Synthetic Database

healthlife sciencesmedicine

The FECGSYNDB is a large database of simulated adult and non-invasive fetal ECG (NI-FECG) signals, which provides a robust resource that enables reproducible research in the field. The data is generated using the FECGSYN simulator (visit website).

Fetal PCG Database

healthlife sciencesmedicine

The project collects a series of 26 fetal phonocardiographic (PCG) signals from different pregnant women during the last months of their singleton physiological pregnancies (gestational week between 31 and 40).

GRABMyoFlow - Dataset extension

healthlife sciencesmedicine

This dataset is an extension of the Gesture Recognition and Biometrics Electromyogram (GRABMyo) dataset, a comprehensive collection of surface electromyography (sEMG) signals from the forearm and wrist while performing static gestures, designed for hand gesture recognition (HGR) and biometric authentication research. The study extends the dataset in two key aspects: 1) by adding wrist-only recordings from 20 newly recruited healthy adults, and 2) by including a dynamic trial at the end of each session. The extension study follows the protocol established in the original study to ensure methodo...

Gait Maturation Database

healthlife sciencesmedicine

The data contained here are from 50 healthy children ranging in age from 40 months to 163 months. Each data file is named with a subject identifier (1-50) and the subject's age (e.g., the file name 2-45.txt indicates that subject #2 is 45 months old). Each data file contains two columns of data in text format. The first column is the time (in seconds), and the second column is the stride interval (in seconds) or the gait cycle duration, the time from heel strike to heel strike of the same foot.

Gait in Aging and Disease Database

healthlife sciencesmedicine

Walking stride interval time series included are from 15 subjects: 5 healthy young adults (23 - 29 years old), 5 healthy old adults (71 - 77 years old), and 5 older adults (60 - 77 years old) with Parkinson's disease. The file name indicates old (o), young (y) or Parkinson's disease (pd). For the old and young subjects, the age (in years) is also included in the filename.

Gait in Neurodegenerative Disease Database

healthlife sciencesmedicine

Neuro-degenerative disease often affects gait and mobility. To understand better the pathophysiology of these diseases and to improve our ability to measure responses to therapeutic interventions, it may be helpful to quantify gait dynamics accurately. The records in this database are from patients with Parkinson's disease (n = 15), Huntington's disease (n = 20), or amyotrophic lateral sclerosis (n = 13). Records from 16 healthy control subjects are also included here.

Gait in Parkinson's Disease

healthlife sciencesmedicine

This database contains measures of gait from 93 patients with idiopathic PD (mean age: 66.3 years; 63% men), and 73 healthy controls (mean age: 66.3 years; 55% men). The database includes the vertical ground reaction force records of subjects as they walked at their usual, self-selected pace for approximately 2 minutes on level ground.

Generalized Multiscale Entropy Analysis

healthlife sciencesmedicine

The method of generalized multiscale entropy (GMSE) analysis is useful for investigating complexity in physiologic signals and other series that have correlations at multiple (time) scales. It represents a generalization of the original method of multiscale entropy analysis.

Gesture Recognition and Biometrics ElectroMyogram (GRABMyo)

healthlife sciencesmedicine

We present the Gesture Recognition and Biometrics ElectroMyogram (GRABMyo) dataset, an open-access dataset of electromyogram (EMG) recordings collected from the wrist and forearm muscles while performing hand gestures. Data were collected from 43 healthy participants (age range: 24-35 years) on three different days while performing 16 hand and finger gestures in identical experimental sessions on each day. The GRABMyo dataset can be used for research on: 1) EMG-based biometrics for personal identification and verification, and 2) EMG-based gesture recognition for neurorehabilitation and home a...

Gradient Algorithm

healthlife sciencesmedicine

In finding an optimal stimulus waveform for inducing switches in neuronal states, analytical techniques from optimal control theory are often found to be difficult to use or extremely time intensive. Here, we present the code for a gradient-based algorithm approach that has been used to find energetically optimal stimulus waveforms to trigger an action potential in the Hodgkin-Huxley model as well as initiating and repressing repetitive firing in the FitzHugh-Nagumo models. These two models serve just as examples and the code can be easily adapted to any other system.

Haaglanden Medisch Centrum sleep staging database

healthlife sciencesmedicine

A collection of 151 whole-night polysomnographic (PSG) sleep recordings (85 Male, 66 Female, mean Age of 53.9 ± 15.4) collected during 2018 at the Haaglanden Medisch Centrum (HMC, The Netherlands) sleep center. Patient recordings were randomly selected and include a heterogeneous population which was referred for PSG examination on the context of different sleep disorders. The dataset contains electroencephalographic (EEG), electrooculographic (EOG), chin electromyographic (EMG), and electrocardiographic (ECG) activity, as well as event annotations corresponding to scoring of sleep patterns (h...

Heart Murmur Detection from Phonocardiogram Recordings: The George B. Moody PhysioNet Challenge 2022

healthlife sciencesmedicine

Congenital heart diseases affect about 1% of newborns, representing an important morbidity and mortality factor for several severe conditions, including advanced heart failure [1]. In a 2019 survey, it was estimated that congenital heart diseases affect over 500,000 children in East Africa [2], and about 8 in every 1000 live births [3]. Acquired heart diseases include rheumatic fever and the Kawasaki disease, the former being a serious public health problem in developing regions, e.g., rural Brazil [4]. Several regions of developing countries have difficulties in diagnosing and treating both c...

Heart Rate Oscillations during Meditation

healthlife sciencesmedicine

Heart rate time series for 5 different groups of healthy subjects performing meditation techniques.

HeartCycle: A comprehensive dataset of synchronized impedance cardiography and echocardiography for hemodynamic predictions

healthlife sciencesmedicine

The "HeartCycle" dataset offers a comprehensive collection of synchronized impedance cardiography (ICG) and echocardiography (ECHO) signals, supplemented with finger photoplethysmography (PPG), heart sounds, and electrocardiography (ECG) data from 17 healthy volunteers. Collected during the HeartCycle project (FP7-216695), this dataset aims to address biases in the ICG waveform, particularly the ABEXYOZ complex, where the B and X points do not precisely align with the aortic valve opening and closing notches. The biases in B and X point detection are critical for hemodynamic predicti...

Hillel Yaffe Glaucoma Dataset (HYGD): A Gold-Standard Annotated Fundus Dataset for Glaucoma Detection

healthlife sciencesmedicine

Glaucomatous optic neuropathy (GON) is a leading cause of irreversible blindness worldwide, affecting an estimated 64.3 million people globally with projections reaching 111.8 million by 2040. Approximately 50% of cases remain undiagnosed until advanced stages when vision loss becomes noticeable. Traditional diagnosis requires comprehensive ophthalmic examinations by specialists, creating accessibility barriers in many regions. The Hillel Yaffe Glaucoma Dataset (HYGD) addresses a critical limitation in existing GON datasets: the lack of gold-standard annotations. Unlike most publicly available...

Human Balance Evaluation Database

healthlife sciencesmedicine

The HBEDB contains force platform recordings from subjects undergoing stabilography tests. The subjects performed standing tasks under four different conditions: with their eyes opened or closed, while standing on a rigid or unstable surface. Each condition was tested three times, with the order of the conditions being randomized among subjects. A total of 1930 trials performed by 163 different subjects are given in this database.

Icelandic 16-electrode Electrohysterogram Database

healthlife sciencesmedicine

This database consists of 122 16-electrode EHG recordings performed on 45 pregnant women. The recordings were performed between 2008 and 2010 in Iceland.

Icentia11k Single Lead Continuous Raw Electrocardiogram Dataset

healthlife sciencesmedicine

This is a dataset of continuous raw electrocardiogram (ECG) signals containing 11 thousand patients and 2 billion labelled beats. The signals were recorded with a 16-bit resolution at 250Hz with a fixed chest mounted single lead probe for up to 2 weeks. The average age of the patient is 62.2±17.4 years. 20 technologists annotated each beat's type (Normal, Premature Atrial Contraction, Premature Ventricular contraction) and rhythm (Normal Sinusal Rhythm, Atrial Fibrillation, Atrial Flutter).

Improving the Quality of ECGs Collected using Mobile Phones: The PhysioNet/Computing in Cardiology Challenge 2011

healthlife sciencesmedicine

The aim of the PhysioNet/Computing in Cardiology Challenge 2011 is to develop an efficient algorithm able to run in near real-time within a mobile phone, that can provide useful feedback to a layperson in the process of acquiring a diagnostically useful ECG recording.

In-Gauge and En-Gage: Occupants' Behaviour, Engagement, Emotion, and Comfort Indoors with Heterogeneous Sensors and Wearables

healthlife sciencesmedicine

We conducted a field study at a K-12 private school in the suburbs of Melbourne, Australia. The datasets contained two elements: (1) In-Gauge dataset: we conducted a 5-month longitudinal field study using two outdoor weather stations, as well as indoor weather stations in 17 classrooms and temperature sensors on the vents of occupant-controlled room air-conditioners; these were collated into individual datasets for each classroom at a 5-minute logging frequency, including additional data on occupant presence. (2) En-Gage dataset: we tracked 23 students and 6 teachers in a 4-week cross-sectiona...

Indian Institute of Science Fetal Heart Sound Database (IIScFHSDB)

healthlife sciencesmedicine

The Indian Institute of Science Fetal Heart Sound Database (IIScFHSDB) has 60 fetal phonocardiography (fPCG) recordings obtained from expecting mothers of age 18-27 years of age with gestation weeks 30-40. The recordings are made at St. John’s Hospital, Bangalore with an electronic stethoscope. The data is collected from the antenatal and labor wards by placing the electronic stethoscope on the lower abdomen of the subject. The fPCG recordings are obtained from 60 subjects with the gain of 500X and the average duration of the recordings is 8 minutes with a sampling frequency of 2 kHz.

Induced Cesarean EHG DataSet (ICEHG DS): Electrohysterogram records of pregnancies ending in induced and cesarean delivery

healthlife sciencesmedicine

The surface electrohysterogram (EHG) has emerged as a promising diagnostic tool for non-invasive automated preterm birth prediction. The existing automated preterm birth prediction methods rely on the use of uterine EHG records coming from spontaneous preterm and term deliveries, and are indifferent to term induced and cesarean deliveries. In order to enhance current publicly available pool of term EHG records, we developed a new EHG dataset containing 126 30-minute EHG records, recorded either early (23rd week), or later during pregnancy (31st week), of those pregnancies that were expected to...

Influence of the MHD effect on 12-lead and 3-lead ECGs recorded in 1T to 7T MRI scanners

healthlife sciencesmedicine

This ECG dataset was acquired in different magnetic resonance imaging (MRI) scanners to study the magnetohydrodynamic (MHD) effect. The MHD effect, which is caused an interaction of the MRI’s strong static magnetic field and the patient’s blood flow, superimposes the ECG signal during MRI exams. As a consequence, a detailed morphological analysis of the ECG (e.g. of the P wave, ST segment or the T wave) is prevented. The MHD effect might be a useful signal for extracting further physiological information, e.g. about blood flow or stroke volume. The 12-lead and 3-lead ECG signals were acquired ...

Information-Based Similarity

healthlife sciencesmedicine

IBS is a novel method for comparing time series based on linguistic analysis of "word" frequency and rank order statistics. It has been applied successfully in a variety of applications, including analysis of interbeat (RR) intervals, classification of the SARS coronavirus, and study of literary works of disputed authorship.

Integration of EEG and Eye-Gaze Datasets for Performance Evaluation in Fundamentals of Laparoscopic Surgery (FLS) Tasks

healthlife sciencesmedicine

Laparoscopic surgery represents a significant advancement in healthcare, aiming to enhance patient outcomes. However, evaluating performance in laparoscopic surgery tasks can be challenging due to subjective assessments. To address this, this study provides a comprehensive description and public access to electroencephalogram (EEG) and eye-gaze data collected from 25 participants with varying levels of robotic surgery experience. The participants performed Fundamentals of Laparoscopic Surgery (FLS) tasks using a trainer box (Pyxus®), focusing on three standard FLS elements. The dataset, named ...

Intracardiac Atrial Fibrillation Database

healthlife sciencesmedicine

This database consists of endocardial recordings from the right atria of 8 patients in atrial fibrillation or flutter. A decapolar catheter with 2-5-2mm spacing (7mm spacing between bipoles) was placed in four separate regions of the heart. In each region, the 5 bipolar signals were recorded along with 3 surface ECG leads.

Is the normal heart rate chaotic?

healthlife sciencesmedicine

In its June 2008 issue, the editors of Chaos announced a new feature, "Controversial Topics in Nonlinear Dynamics". The first controversial topic to be aired is "Is the Normal Heart Rate Chaotic?". Since major impediments to achieving consensus on the statistical properties of biologic time series have included the lack of open access time series, PhysioNet has provided a set of 15 heart beat (RR-interval) time series in health and disease (congestive heart failure and atrial fibrillation). Each time series is about 24 hours long (roughly 100,000 intervals), and is provided...

KINECAL

healthlife sciencesmedicine

The field of human action recognition has made great strides in recent years, much helped by the availability of a wide variety of datasets that use Kinect to record human movement. Conversely, progress towards using Kinect in clinical practice has been hampered by the lack of appropriate data. In particular, datasets that contain clinically significant movements and appropriate metadata. This paper proposes a dataset to address this issue, namely KINECAL. It contains the recordings of 90 individuals carrying out 11 movements, commonly used in the clinical assessment of balance. The dataset co...

Kiel Cardio Database

healthlife sciencesmedicine

The Kiel Cardio Database, which includes magnetocardiography (MCG) measurements of seven healthy male volunteers, is presented in this publication. QuSpin QZFM Gen 1 sensors were used in a magnetically shielded chamber at the University of Kiel. Each subject underwent 25 one-minute measurements, resulting in magnetic field recordings at 200 different positions for each subject. The dataset is intended to facilitate MCG research by making this expensive method accessible to researchers without the necessary equipment. Future versions of the database will expand its utility for cardiac research ...

Labeled raw accelerometry data captured during walking, stair climbing and driving

healthlife sciencesmedicine

The database contains raw accelerometry data collected during outdoor walking, stair climbing, and driving for 32 healthy adults. Accelerometry data were collected simultaneously at four body locations: left wrist, left hip, left ankle, and right ankle, at a sampling frequency of 100 Hz. The 3-axial ActiGraph GT3X+ devices were used to collect the data. The data include labels of activity type performed (walking, descending stairs, ascending stairs, driving, clapping) for each time point of data collection. Basic demographic information of participants is also provided. All data are anonymized...

Leipzig Heart Center ECG-Database: Arrhythmias in Children and Patients with Congenital Heart Disease

healthlife sciencesmedicine

Interpretation of Electrocardiograms (ECG) is increasingly complemented by algorithms. These algorithms are based on large datasets. This ECG database consists of children and adults with congenital heart defects (CHD) including many arrhythmia annotations. This dataset, notable for its manual annotations and inclusion of intracardiac electrograms alongside traditional 12-lead ECGs, offers 1075.85 minutes of recordings (in total 113924 annotated beats) that capture various cardiac rhythms and arrhythmias such as supraventricular tachycardia and ventricular tachycardia. The data were meticulous...

Lobachevsky University Electrocardiography Database

healthlife sciencesmedicine

Lobachevsky University Electrocardiography Database (LUDB) is an ECG signal database with marked boundaries and peaks of P, T waves and QRS complexes. The database consists of 200 10-second 12-lead ECG signal records representing different morphologies of the ECG signal. The ECGs were collected from healthy volunteers and patients of the Nizhny Novgorod City Hospital No 5 in 2017–2018. The patients had various cardiovascular diseases while some of them had pacemakers. The boundaries of P, T waves and QRS complexes were manually annotated by cardiologists for all 200 records. Also, each record ...

Logistic Regression-HSMM-based Heart Sound Segmentation

healthlife sciencesmedicine

The identification of the exact positions of the first and second heart sounds within a phonocardiogram (PCG), or heart sound segmentation, is an essential step in the automatic analysis of heart sound recordings, allowing for the classification of pathological events. While threshold-based segmentation methods have shown modest success, probabilistic models, such as hidden Markov models, have recently been shown to surpass the capabilities of previous methods. Segmentation performance is further improved when apriori information about the expected duration of the states is incorporated into t...

Long Term AF Database

healthlife sciencesmedicine

This database includes 84 long-term ECG recordings of subjects with paroxysmal or sustained atrial fibrillation (AF). Each record contains two simultaneously recorded ECG signals digitized at 128 Hz with 12-bit resolution over a 20 mV range; record durations vary but are typically 24 to 25 hours.

Long Term Movement Monitoring Database

healthlife sciencesmedicine

The LTMM database contains 3-day 3D accelerometer recordings of 71 elder community residents, used to study gait, stability, and fall risk.

Long-term Recordings of Gait Dynamics

healthlife sciencesmedicine

Stride interval fluctuations were studied in ten young, healthy men. Participants had no history of any neuromuscular, respiratory or cardiovascular disorders, and were taking no medications. Mean age was 21.7 years (range: 18-29 years). Height was 1.77 ± 0.08 meters (mean ± S.D.) and weight was 71.8 ± 10.7 kg. All subjects provided informed written consent. Subjects walked continuously on level ground around an obstacle free, long (either 225 or 400 meters), approximately oval path and the stride interval was measured using ultra-thin, force sensitive switches taped inside one shoe.

Longitudinal Cylinder Rearing Behavioral Data in a Mouse Stroke Model Across Multiple Drug Treatments

healthlife sciencesmedicine

This dataset includes longitudinal data from 59 mice assigned to four drug treatment groups (lemborexant 10 mg/kg, lemborexant 30 mg/kg, zolpidem 30 mg/kg, and vehicle), assessed at five timepoints: baseline (pre-treatment), maximal deficit (post-stroke 48 hours), and weeks 2, 4, and 8 post-treatment. Designed to evaluate drug efficacy over time, the dataset captures functional or physiological changes across stroke acute and recovery phases via the behavioral test of cylinder rearing. The shared data specifically comprises 295 video recordings (.mp4) of these sessions, paired with correspondi...

MAMEM SSVEP Database

healthlife sciencesmedicine

Released by the Information Technologies Institute (CERTH-ITI) and powered by MAMEM HORIZON 2020, the MSSVEP database contains EEG recordings of 11 subjects under the stimulation of flickering lights, used to study the steady state visually evoked potentials. The data is divided into three sets in which the experimental procedures and capturing devices differ.

MGH/MF Waveform Database

healthlife sciencesmedicine

The Massachusetts General Hospital/Marquette Foundation (MGH/MF) Waveform Database is a comprehensive collection of electronic recordings of hemodynamic and electrocardiographic waveforms of stable and unstable patients in critical care units, operating rooms, and cardiac catheterization laboratories. It is the result of a collaboration between physicians, biomedical engineers and nurses at the Massachusetts General Hospital. The database consists of recordings from 250 patients and represents a broad spectrum of physiologic and pathophysiologic states. Individual recordings vary in length fro...

MICRO Motion capture data from groups of participants standing still to auditory stimuli (2012)

healthlife sciencesmedicine

This dataset comprises head motion observations collected as part of an experiment in which a group of people were asked to stand still for 6 minutes, with the first 3 minutes in silence, followed by 3 minutes with music. Head motion was captured in units of mm at 100Hz using a Qualisys infra-red optical system. The experiment was carried out at the University of Oslo on March 8th 2012 from a total of 113 participants. Code to read and process these files is available. The paper corresponding to the work is Jensenius et al., "The Musical Influence on People's Micromotion when Standing...

MICRO Motion capture data from groups of participants standing still to auditory stimuli (2015)

healthlife sciencesmedicine

This project contains head movement data recorded from groups of participants asked to stand as still as possible and presented with a series of auditory stimuli. Data was collected in units of mm with a Qualisys motion capture system at 100Hz. Data was collected at the University of Oslo on March 12th 2015 from a total of 108 participants. Code to read and process these files has been made publicly available.

MIMIC-IV Clinical Database Demo

healthlife sciencesmedicine

The Medical Information Mart for Intensive Care (MIMIC)-IV database is comprised of deidentified electronic health records for patients admitted to the Beth Israel Deaconess Medical Center. Access to MIMIC-IV is limited to credentialed users. Here, we have provided an openly-available demo of MIMIC-IV containing a subset of 100 patients. The dataset includes similar content to MIMIC-IV, but excludes free-text clinical notes. The demo may be useful for running workshops and for assessing whether the MIMIC-IV is appropriate for a study before making an access r...

MIMIC-IV Clinical Database Demo on FHIR

healthlife sciencesmedicine

Interoperability of healthcare data has become increasingly important given the increase in deployment of data driven algorithms in clinical settings. The Fast Healthcare Interoperability Resources (FHIR) standard has emerged as a promising mechanism to share healthcare data across vendors in real-time and batch settings. Real-world datasets available in FHIR would accelerate research and development of data-driven algorithms. Existing datasets in FHIR are primarily synthetic, and cover a limited number of resources. To address this gap, we have reformatted the Medical Information Mart for Int...

MIMIC-IV demo data in the Medical Event Data Standard (MEDS)

healthlife sciencesmedicine

This dataset is an automated ETL conversion of the MIMIC-IV Clinical Database Demo into the Medical Event Data Standard (MEDS). MEDS is a data schema for storing streams of medical events such as those sourced from Electronic Health Records or claims records. MEDS is intentionally a minimal standard, designed for maximum interoperability across datasets, existing tools, and model architectures. By providing a simple standardization layer between datasets and model-specific code, MEDS is intended to help make machine learning research for EHR data more reproducible, robust, computationally perf...

MIMIC-IV-ECG: Diagnostic Electrocardiogram Matched Subset

healthlife sciencesmedicine

The MIMIC-IV-ECG module contains approximately 800,000 diagnostic electrocardiograms across nearly 160,000 unique patients. These diagnostic ECGs use 12 leads and are 10 seconds in length. They are sampled at 500 Hz. This subset contains all of the ECGs for patients who appear in the MIMIC-IV Clinical Database. When a cardiologist report is available for a given ECG, we provide the needed information to link the waveform to the report. The patients in MIMIC-IV-ECG have been matched against the MIMIC-IV Clinical Database, making it possible to link to information across the MIMIC-IV modules.

MIT-BIH Arrhythmia Database

healthlife sciencesmedicine

The MIT-BIH Arrhythmia Database contains 48 approximately half-hour, two-channel ambulatory electrocardiogram (ECG) recordings from 47 subjects. The recordings were collected at Boston's Beth Israel Hospital between 1975 and 1979 and include both randomly selected excerpts and recordings selected to represent less common, clinically significant arrhythmias. Signals were digitized at 360 samples per second per channel with 11-bit resolution over a 10 mV range. Each recording includes expert-reviewed reference annotations, comprising approximately 110,000 beat annotations across the database...

MIT-BIH Arrhythmia Database P-Wave Annotations

healthlife sciencesmedicine

This database provides manually reviewed P-wave annotations for twelve ECG recordings from the MIT-BIH Arrhythmia Database [1]. The recordings were selected to support evaluation of P-wave detection across a range of rhythms, including pathological conditions that can make detection difficult. One expert annotated the recordings, a second expert reviewed the annotations, and ambiguous segments were discussed jointly. The annotations are supplied in standard WFDB format alongside the corresponding ECG signals and header files. They support the development and evaluation of automated P-wave dete...

MIT-BIH Atrial Fibrillation Database

healthlife sciencesmedicine

This database includes 25 long-term ECG recordings of human subjects with atrial fibrillation (mostly paroxysmal).

MIT-BIH ECG Compression Test Database

healthlife sciencesmedicine

This database contains 168 short ECG recordings (20.48 seconds each) selected to pose a variety of challenges for ECG compressors, in particular for lossy compression methods.

MIT-BIH Long-Term ECG Database

healthlife sciencesmedicine

The MIT-BIH Long-Term ECG Database is a collection of 7 long-duration electrocardiogram (ECG) recordings (14 to 22 hours each), with manually reviewed beat annotations. The database was primarily developed to support research in the field of cardiac arrhythmia detection and analysis, and is a collaborative effort between the Massachusetts Institute of Technology (MIT) and the Beth Israel Hospital (BIH).

MIT-BIH Malignant Ventricular Ectopy Database

healthlife sciencesmedicine

This database includes 22 half-hour ECG recordings of subjects who experienced episodes of sustained ventricular tachycardia, ventricular flutter, and ventricular fibrillation.

MIT-BIH Normal Sinus Rhythm Database

healthlife sciencesmedicine

This database includes 18 long-term ECG recordings of subjects referred to the Arrhythmia Laboratory at Boston's Beth Israel Hospital (now the Beth Israel Deaconess Medical Center). Subjects included in this database were found to have had no significant arrhythmias; they include 5 men, aged 26 to 45, and 13 women, aged 20 to 50.

MIT-BIH Polysomnographic Database

healthlife sciencesmedicine

The MIT-BIH Polysomnographic Database is a collection of recordings of multiple physiologic signals during sleep. Subjects were monitored in Boston's Beth Israel Hospital Sleep Laboratory for evaluation of chronic obstructive sleep apnea syndrome, and to test the effects of constant positive airway pressure (CPAP), a standard therapeutic intervention that usually prevents or substantially reduces airway obstruction in these subjects.

MIT-BIH ST Change Database

healthlife sciencesmedicine

This database includes 28 ECG recordings of varying lengths, most of which were recorded during exercise stress tests and which exhibit transient ST depression. The last five records (323 through 327) are excerpts of long-term ECG recordings and exhibit ST elevation.

MIT-BIH Supraventricular Arrhythmia Database

healthlife sciencesmedicine

This database includes 78 half-hour ECG recordings chosen to supplement the examples of supraventricular arrhythmias in the MIT-BIH Arrhythmia Database.

MUSIC (Sudden Cardiac Death in Chronic Heart Failure)

healthlife sciencesmedicine

The MUSIC (MUerte Subita en Insuficiencia Cardiaca) study is a prospective, multicentre, longitudinal study designed to assess risk predictors of cardiac mortality and sudden cardiac death (SCD) in ambulatory patients with chronic heart failure (CHF). The study population consisted of 992 patients with CHF consecutively enrolled from the specialized HF clinics of eight University Spanish Hospitals between April 2003 and December 2004, and followed up for a median of 44 months (until November 2008). All patients had a 3-lead resting electrocardiogram (ECG), a 24 h, 2-(4%) or 3-lead (96%) Holter...

Motion Artifact Contaminated ECG Database

healthlife sciencesmedicine

Short duration ECG signals are recorded from a healthy 25-year-old male performing different physical activities to study the effect of motion artifacts on ECG signals and their sparsity.

Motion Artifact Contaminated fNIRS and EEG Data

healthlife sciencesmedicine

This data collection, contributed to PhysioBank by Kevin Sweeney and colleagues at the National University of Ireland in Maynooth, contains examples of functional near-infrared spectroscopy (fNIRS) and electroencephalogram (EEG) recordings that have been created for evaluating artifact removal methods.

Motion and heart rate from a wrist-worn wearable and labeled sleep from polysomnography

healthlife sciencesmedicine

This project contains acceleration (in units of g) and heart rate (bpm, measured from photoplethysmography) recorded from the Apple Watch, as well as labeled sleep scored from gold-standard polysomnography. Data were collected at the University of Michigan from June 2017 to March 2019, and there are 31 subjects in total. Code to read and process these files is available on GitHub. The paper corresponding to the work is Walch et al., "Sleep stage prediction with raw acceleration and photoplethysmography heart rate data derived from a consumer wearable device", SLEEP (2019).

Multilevel Monitoring of Activity and Sleep in Healthy People

healthlife sciencesmedicine

Multilevel Monitoring of Activity and Sleep in Healthy people (MMASH) dataset provides 24 hours of continuous beat-to-beat heart data, triaxial accelerometer data, sleep quality, physical activity and psychological characteristics (i.e., anxiety status, stress events and emotions) for 22 healthy participants. Moreover, saliva bio-markers (i.e.cortisol and melatonin) and activity log were also provided in this dataset. The MMASH dataset will enable researchers to test the correlations between physical activity, sleep quality, and psychological characteristics.

Multiscale Entropy Analysis

healthlife sciencesmedicine

The method of multiscale entropy (MSE) analysis is useful for investigating complexity in physiologic signals and other series that have correlations at multiple (time) scales.

Multiscale Multifractal Analysis

healthlife sciencesmedicine

Multiscale multifractal analysis (MMA) (Gierałtowski et al., 2012) is a time series analysis method, designed to describe scaling properties of fluctuations within the signal analyzed. The main result of this procedure is the so called Hurst surface h(q,s) , which is a dependence of the local Hurst exponent h (fluctuation scaling exponent) on the multifractal parameter q (Kantelhardt et al., 2002) and the scale of observation s (data window width).

Multiscale Poincare Plots

healthlife sciencesmedicine

Poincaré delay maps are widely used in the analysis of cardiac interbeat interval (RR) dynamics. To facilitate visualization of the structure of these complex time series, we introduced a methodology called multiscale Poincaré (MSP) plots.

Myocardial perfusion scintigraphy image database

healthlife sciencesmedicine

This database provides a collection of myocardial perfusion scintigraphy images in DICOM format with all metadata and segmentations (masks) in NIfTI format. The images were obtained from patients undergoing scintigraphy examinations to investigate cardiac conditions such as ischemia and myocardial infarction. The dataset encompasses a diversity of clinical cases, including various perfusion patterns and underlying cardiac conditions. All images have been properly anonymized, and the age range of the patients is from 20 to 90 years. This database represents a valuable source of information for ...

NInFEA: Non-Invasive Multimodal Foetal ECG-Doppler Dataset for Antenatal Cardiology Research

healthlife sciencesmedicine

The development of algorithms for the extraction of the foetal ECG (fECG) from non-invasive recordings is hampered by the lack of publicly-available reference datasets, which could be used to benchmark different algorithms while providing a ground truth on the foetal heart activity when an invasive scalp lead is unavailable. By enriching the electrophysiological recordings with simultaneous multimodal signals, these datasets could also help the investigation of the foetal cardiac physiology, providing ground truth for the analysis in early pregnancy, when the fECG is not directly accessible. T...

Noise Enhancement of Sensorimotor Function

healthlife sciencesmedicine

This database contains postural sway measurements for 15 healthy young (mean age 23, standard deviation 2), and 12 healthy elderly (mean age 73, standard deviation 3) volunteers. Each subject's postural sway was recorded during a test of 10 minutes for the young subjects, or 5 minutes for the elderly subjects, in all cases with a 2-minute seated break midway through the test. Each test was divided into 30-second trials, and each file of the database contains data for one of these 30-second trials.

Non-Invasive Fetal ECG Arrhythmia Database

healthlife sciencesmedicine

Fetal cardiac arrhythmias are defined as any irregular fetal cardiac rhythm or regular rhythm at a rate outside the reference range of 100 to 200 beat per minute (bpm). Arrhythmias are discovered in about 1% of fetuses with about 10% of these being considered potential sources of morbidity. Although most fetal arrhythmias are benign, some can cause fetal hydrops and lead to fetal death. This means that up to 1 fetus in 100 need their arrhythmias to be closely monitored and if indicated treated in-utero using antiarrhythmic therapy. The Non-Invasive Fetal ECG Arrhythmia Database (NIFEA DB) prov...

Non-Invasive Fetal ECG Database

healthlife sciencesmedicine

This database contains a series of 55 multichannel abdominal non-invasive fetal electrocardiogram (FECG) recordings, taken from a single subject between 21 to 40 weeks of pregnancy. The records have variable durations, and were taken weekly (two or more records were acquired during some weeks). These records may be very useful for testing signal separation algorithms.

Noninvasive Fetal ECG: The PhysioNet/Computing in Cardiology Challenge 2013

healthlife sciencesmedicine

The aim of this year's PhysioNet/Computing in Cardiology Challenge is to encourage development of accurate algorithms for locating QRS complexes and estimating the QT interval in noninvasive FECG signals.

Normal Sinus Rhythm RR Interval Database

healthlife sciencesmedicine

This database includes beat annotation files for 54 long-term ECG recordings of subjects in normal sinus rhythm (30 men, aged 28.5 to 76, and 24 women, aged 58 to 73). The original ECG recordings (not available) were digitized at 128 samples per second, and the beat annotations were obtained by automated analysis with manual review and correction.

Norwegian Endurance Athlete ECG Database

healthlife sciencesmedicine

The Norwegian Endurance Athlete ECG Database contains 12-lead ECG recordings from 28 elite athletes from various sports in Norway. All recordings are 10 seconds resting ECGs recorded with a General Electric (GE) MAC VUE 360 electrocardiograph. All ECGs are interpreted with both the GE Marquette SL12 algorithm (version 23 (v243)) and one cardiologist with training in interpretation of athlete's ECG. The data was collected at the University of Oslo in February and March 2020.

OB-1 Fetal ECG Database

healthlife sciencesmedicine

This project is developing a set of recordings of fetal scalp electrograms and uterine muscular activity, with beat-by-beat annotations of the fetal ECG, to support studies of fetal heart rate variability.

Open Access Dataset and Toolbox of High-Density Surface Electromyogram Recordings

healthlife sciencesmedicine

We provide an open access dataset of High densitY Surface Electromyogram (HD-sEMG) Recordings (named "Hyser"). We acquired data from 20 subjects with each subject participating in our experiment twice on separate days following the same experiment paradigm. Our Hyser dataset contains five sub-datasets: (1) pattern recognition (PR) dataset acquired during 34 hand gestures, (2) maximal voluntary muscle contraction (MVC) dataset while subjects contracted each individual finger, (3) one-degree of freedom (DoF) dataset acquired during force-varying contraction of each individual finger, (...

PADS - Parkinsons Disease Smartwatch dataset

healthlife sciencesmedicine

Parkinson’s disease (PD) is the second-most common neurodegenerative disorder, while incidence and worldwide burden are further increasing. In the era of digital health transformation, smart devices and mobile sensors, including smartphones and smartwatches, can provide an affordable source to capture and analyse digital objective biomarkers. These can aid in early diagnosis and studying phenotypical characteristics. The Parkinson’s Disease Smartwatch (PADS) dataset comprises clinical assessments of a broad spectrum of PD patients, other similar movement disorders and healthy controls. The ass...

PAF Prediction Challenge Database

healthlife sciencesmedicine

This database of two-channel ECG recordings has been created for use in the Computers in Cardiology Challenge 2001, an open competition with the goal of developing automated methods for predicting paroxysmal atrial fibrillation (PAF). See the challenge announcement for information about the competition, and see Predicting Onset of Atrial Fibrillation for a brief overview of the clinical problem, its significance, and suggestions for further reading on the subject.

PSG-IPA: A PolySomnoGraphic Inter-scorer Performance Assessment database

healthlife sciencesmedicine

This dataset, named PolySomnoGraphic Inter-scorer Performance Assessment (PSG-IPA) database, comprises 20 polysomnography (PSG) recordings and related multi-expert scoring annotations. It was utilized in a study to evaluate inter-scorer variability, specifically assessing reliability and scoring times associated with various PSG review tasks. The study also aimed to compare the impact of computer-assisted (semi-automatic) scoring versus unassisted visual analysis on these factors. The dataset includes recordings of common raw PSG signal activity, such as electroencephalography (EEG), electrooc...

PTB Diagnostic ECG Database

healthlife sciencesmedicine

Physikalisch-Technische Bundesanstalt (PTB), the National Metrology Institute of Germany, has provided this compilation of digitized ECGs for research, algorithmic benchmarking or teaching purposes to the users of PhysioNet. The ECGs were collected from healthy volunteers and patients with different heart diseases by Professor Michael Oeff, M.D.

PTB-XL+, a comprehensive electrocardiographic feature dataset

healthlife sciencesmedicine

The PTB-XL+ dataset is a comprehensive feature dataset that supplements the PTB-XL ECG dataset. It includes ECG features extracted via two commercial and one open-source algorithm in a harmonized format as well as median beats or, where applicable, fiducial points extracted by the respective algorithms. In addition, it provides automatic diagnosis statements from one commercial ECG analysis algorithm at different processing levels that are ready to be used for training and evaluation of machine learning models.

PTB-XL, a large publicly available electrocardiography dataset

healthlife sciencesmedicine

Electrocardiography (ECG) is a key diagnostic tool to assess the cardiac condition of a patient. Automatic ECG interpretation algorithms as diagnosis support systems promise large reliefs for the medical personnel - only on the basis of the number of ECGs that are routinely taken. However, the development of such algorithms requires large training datasets and clear benchmark procedures. In our opinion, both aspects are not covered satisfactorily by existing freely accessible ECG datasets. The PTB-XL ECG dataset is a large dataset of 21799 clinical 12-lead ECGs from 18869 patients of 10 second...

Paroxysmal Atrial Fibrillation Events Detection from Dynamic ECG Recordings: The 4th China Physiological Signal Challenge 2021

healthlife sciencesmedicine

Atrial fibrillation (AF) is the most frequent arrhythmia, but paroxysmal atrial fibrillation (PAF) often remains unrecognized. Early detection of PAF is of great value for AF surgery options, drug intervention and diagnosis and treatment of various clinical complications. Although accurate detection of paroxysmal AF is very important, there is currently no algorithm that can efficiently measure the onset and end of AF episode in dynamic or wearable ECGs. Previous AF detection algorithms usually focus on the classification of AF rhythm instead of locating the onsets and ends of AF episodes. Thu...

Patient-level dataset to study the effect of COVID-19 in people with Multiple Sclerosis

healthlife sciencesmedicine

Multiple Sclerosis (MS) is an inflammatory autoimmune disease of the central nervous system, causing increased vulnerability to infections and disability among young adults. Ever since the coronavirus disease 2019 (COVID-19) outbreak, caused by severe acute respiratory syndrome coronavirus 2 infections, there have been concerns among people with MS (PwMS) about the potential interactions between various disease-modifying therapies and COVID-19. The COVID-19 in MS Global Data Sharing Initiative (GDSI) was initiated in 2020 to address these concerns. This paper focuses on the anonymisation and o...

Pattern Analysis of Oxygen Saturation Variability

healthlife sciencesmedicine

This database contains one hour oxygen saturation measurements of 36 patients, used for the analysis of oxygen saturation variability.

Permittivity of Healthy and Diseased Skeletal Muscle

healthlife sciencesmedicine

A better understanding of the permittivity of skeletal muscle is essential for the development of new diagnostic tools and approaches for neuromuscular evaluation. However, there remain important knowledge gaps in our understanding of this property in healthy and diseased skeletal muscle, which hinder its translation into clinical application. The aim of this project is to provide a platform for the researchers to contribute and share the dissemination of this property in healthy and diseased muscle. Ultimately, the normative data reported will offer the scientific community the opportunity to...

PhysioNet Cardiovascular Signal Toolbox

healthlife sciencesmedicine

The PhysioNet Cardiovascular Signal Toolbox is an open-source modular program for calculating heart rate variability (HRV) implemented in Matlab with evidence-based algorithms and output formats. The Toolbox is compatible with 64-bit MATLAB on GNU/Linux, Mac OS X, and MS-Windows.

PhysioTag: An Open-Source Platform for Collaborative Annotation of Physiological Waveforms

healthlife sciencesmedicine

To develop robust algorithms for automated diagnosis of medical conditions such as cardiac arrhythmias, researchers require large collections of data with human expert annotations. Currently, there is a lack of accessible, open-source platforms for human experts to collaboratively develop these annotated datasets through a web interface. In this work, we developed a flexible, generalizable, web-based framework to enable multiple users to create and share annotations on multi-channel physiological waveforms. The software is simple to install and offers a range of features, including: user manag...

PhysioZoo - mammalian NSR databases

healthlife sciencesmedicine

The PhysioZoo database contains electrocardiographic recordings (ECG) taken from multiple types of mammals (dogs, rabbits, mice). Each record is provided in 3 different formats: MATLAB (.mat), simple text (.txt), PhysioNet (.hea,.dat,.qrs). For each record the following data is available: the raw ECG signal, reference (human corrected) R-peak annotations and the signal quality annotations. All of the files formats are compatible with the PhysioZoo open source software available at physiozoo.com. When the recordings were taken, all the mammals were conscious, and no drugs were administered prio...

Physiologic Response to Changes in Posture

healthlife sciencesmedicine

A collection of physiological signals in ten healthy subjects in response to a slow tilt, a fast tilt, and a standing-up maneuver.

Post-Ictal Heart Rate Oscillations in Partial Epilepsy

healthlife sciencesmedicine

This database contains “post-ictal heart rate oscillations in a heterogeneous group of patients with partial epilepsy.

Predicting Mortality of ICU Patients: The PhysioNet/Computing in Cardiology Challenge 2012

healthlife sciencesmedicine

The focus of the PhysioNet/CinC Challenge 2012 is to develop methods for patient-specific prediction of in-hospital mortality. Participants will use information collected during the first two days of an ICU stay to predict which patients survive their hospitalizations, and which patients do not.

Predicting Paroxysmal Atrial Fibrillation/Flutter: The PhysioNet/Computing in Cardiology Challenge 2001

healthlife sciencesmedicine

Following the success of the first Computers in Cardiology Challenge, we are pleased to offer a new challenge from PhysioNet and Computers in Cardiology 2001. The challenge is to develop a fully automated method to predict the onset of paroxysmal atrial fibrillation/flutter (PAF), based on the ECG prior to the event. The goal of the contest is to stimulate effort and advance the state of the art in this clinically significant problem, and to foster both friendly competition and wide-ranging collaborations.

Pressure, flow, and dynamic thoraco-abdominal circumferences data for adults breathing under CPAP therapy

healthlife sciencesmedicine

A respiratory pressure, flow, and dynamic circumference (chest and abdominal) dataset was collected from 30 healthy adults at the University of Canterbury under Human Research Ethics Committee (HREC) ethics. Pressure and flow data was collected using a bi-directional Venturi, with data combined in post-collection processing. Dynamic circumferences were measured using inelastic band tape measures attached to rotary encoders capturing expansion and contraction. Data was collected at zero end-expiratory pressure (ZEEP) and with continuous positive airway pressure (CPAP) ventilation, at positive e...

Puka - Software for Detection of Breaths in Strain Gauge Recordings

healthlife sciencesmedicine

Puka calculates descriptive statistics such as heart rate variability (HRV), peak-valley respiratory sinus arrhythmia (RSA), and respiratory variables from EKG and strain gauge respiration data.

Pulse Transit Time PPG Dataset

healthlife sciencesmedicine

We provide an open access, high resolution and time synchronised dataset from multiple sensors worn at different body locations including Photoplethysmogram (PPG), Inertial, Pressure and ECG. The recordings are from 22 healthy subjects performing 3 physical activities. This dataset contains 66 waveform records from multi-site and multi-wavelength PPGs, sensors’ attachment pressures, sensors’ temperatures, inertial data from accelerometer and gyroscope, along with annotated ECG data for a total of 19 channels. Additionally, systolic and diastolic blood pressures, as well as blood oxygenation sa...

Q-Pain: A Question Answering Dataset to Measure Social Bias in Pain Management

healthlife sciencesmedicine

We introduce Q-Pain, a dataset for assessing bias in medical QA in the context of pain management. We developed 55 medical question-answer pairs across five different types of pain management: each question includes a detailed patient-specific medical scenario ("vignette") designed to enable the substitution of multiple different racial and gender "profiles" and to evaluate whether bias is present when answering whether or not to prescribe medication. Along with the dataset, we propose a new framework, including a sample experimental design, to measure the potential bias pr...

QT Database

healthlife sciencesmedicine

Over 100 fifteen-minute two-lead ECG recordings (many excerpted from other databases), with onset, peak, and end markers for P, QRS, T, and (where present) U waves of from 30 to 50 selected beats in each recording.

QT Interval Measurement: The PhysioNet/Computing in Cardiology Challenge 2006

healthlife sciencesmedicine

The seventh annual PhysioNet/Computers in Cardiology Challenge addresses a question of high clinical interest: Can the QT interval be measured by fully automated methods with an accuracy acceptable for clinical evaluations?

Quantitative Dehydration Estimation

healthlife sciencesmedicine

Quantitative estimation of dehydration (total body water loss) using bioimpedance measurements, temperature measurements, salivary samples, and sweat samples.

R-DECO: An open-source Matlab based graphical user interface for the detection and correction of R-peaks

healthlife sciencesmedicine

Many of the existing ECG toolboxes focus on the derivation of heart rate variability features from RR-intervals. By doing so, they assume correct detection of the QRS-complexes. However, it is highly likely that not all detections are correct. Therefore, it is recommended to visualize the actual R-peak positions in the ECG signal and allow manual adaptations. As a solution, we present R-DECO, an easy-to-use graphical user interface for the detection and correction of R-peaks. Within R-DECO, the R-peaks are detected by an adaptation of the Pan-Tompkins algorithm. Instead of using all the pre-pr...

RR interval time series from healthy subjects

healthlife sciencesmedicine

Heart rate variability (HRV) is mainly controlled by the autonomic nervous system (ANS) interacting with receptors on the sinoatrial node (SAN). HRV is influenced by many several factors such as chemical, hormonal and neural modulations, circadian changes, exercise, emotions, posture, and preload. The heart rate adaptation to changing factors is carried out by the activity of a variety of regulatory subsystems and results in a complex linear and non-linear time behaviour, which changes with age, gender and pathological conditions. Many studies explore an age range of 1-99 years. This study foc...

Radiology Report Generation Models Evaluation Dataset For Chest X-rays (RadEvalX)

healthlife sciencesmedicine

The Radiology Report Generation Models Evaluation Dataset For Chest X-rays (RadEvalX) is publicly available and developed similarly to the ReXVal dataset. Just like ReXVal, RadEvalX focuses on radiologist evaluations of errors found in automatically generated radiology reports. The dataset includes annotations from two board-certified radiologists, who identified clinically significant and clinically insignificant errors across eight different categories of errors. Compared to the ground-truth reports from the IU-Xray dataset, the evaluations were done on candidate radiology reports. For every...

Random Search Toolbox

healthlife sciencesmedicine

A major issue with many signal processing and machine learning algorithms is the lack of optimisation methods for determining the numerous hyper-parameters associated with the model as well as the knowledge of which hyper-parameters are relevant. These parameters are usually tunned by trial and error (manual search) or by grid search. In 2012 Bergstra et al. showed empirically that random search was performing similar or better than grid search while reducing the computational cost substantially.

Recordings excluded from the NSR DB

healthlife sciencesmedicine

The recordings in this collection were originally selected for inclusion in the MIT-BIH Normal Sinus Rhythm Database, but were excluded after study revealed low-grade arrhythmias.

Respiratory and Pulse Oximetry Waveforms from Healthy Adults During Simulated Apnoea Events

healthlife sciencesmedicine

This dataset contains airway gauge pressure, inspiratory differential pressure, and pulse oximetry waveforms collected from 20 healthy adult participants (10 females, 10 males) during simulated obstructive sleep apnoea (OSA) trials. Recordings include photoplethysmography (PPG) signals from a custom neck-worn reflectance oximeter, which records both arterial and venous blood waveforms from the carotid artery and internal jugular vein, respectively. Each subject completed a a series of 8 × 60-second breathing trials with varying positive airway pressures (0, 4, and 8 cmH₂O) set with a continuou...

Respiratory and heart rate monitoring dataset from aeration study

healthlife sciencesmedicine

A study was conducted to collect respiratory pressure and flow data for model-based assessment, alongside electrical impedance tomography (EIT) aeration, electrocardiogram (ECG), and heart-rate belt (HRB) data. A 20 subjects set was selected with no known significant respiratory abnormalities, under University of Canterbury Human Research Ethics Committee (HREC) consent (HREC 2023/30/LR-PS). Subject demographic data was collected using a combination of measurements and a self-reported questionnaire. Subject demographic information to ascertain: sex; height; weight; age; any history of asthma, ...

Respiratory dataset from PEEP study with expiratory occlusion

healthlife sciencesmedicine

A trial was conducted to collect gauge pressure and flow from a venturi-based flow-meter, dynamic abdominal and thoracic circumference from rotary-encoder based tape measures, and aeration data from electrical impedance tomography (EIT). Data was collected from 80 adults, breathing with continuous positive airway pressure (CPAP) ventilation, under ethical consent from the University of Canterbury Human Research Ethics Committee (HREC 2023/04/LR-PS). In each subject’s recording the positive end expiratory pressure (PEEP) was increased from 4 to 12 cmH2O in 0.5 cmH2O increments, with data record...

Response to Valsalva Maneuver in Humans

healthlife sciencesmedicine

Functional metrics of autonomic control of heart rate, including baroreflex sensitivity, have been shown to be strongly associated with cardiovascular risk. A decrease in baroreflex sensitivity with aging is hypothesized to represent a contributing causal factor in the etiology of primary hypertension. To assess baroreflex function in human subjects, two complementary methods to simulate the response in heart rate elicited by the Valsalva maneuver were developed and applied to data obtained from a cohort of healthy normal volunteers.

SHDB-AF: a Japanese Holter ECG database of atrial fibrillation

healthlife sciencesmedicine

Saitama Heart Database Atrial Fibrillation (SHDB-AF) is a novel open-sourced Holter ECG database from Japan, containing data from 122 unique subjects with paroxysmal atrial fibrillation. Among the 128 recordings, 98 contain raw ECG data with rhythm annotations at the beat level, manually performed by a cardiology fellow. The remaining recordings consist only of ECG traces without annotations. The dataset was collected as part of a study evaluating the generalization performance of a deep learning atrial fibrillation event detection model across different distribution shifts.

Safety and Preliminary Efficacy of Intranasal Insulin for Cognitive Impairment in Parkinson Disease and Multiple System Atrophy

healthlife sciencesmedicine

This dataset was collected as part of a study that aimed to determine the effects of intranasal insulin (INI) on cognition and motor performance in PD. The study was a proof of concept, randomized, double-blinded, placebo-controlled trial evaluating the effects of 40 international units (IU) of insulin or saline once daily for four weeks on cognitive and functional performance. Of 16 subjects enrolled, eight in the INI group and six in the placebo group completed verbal fluency (FAS), Unified Parkinson Disease Scale (UPDRS), and modified Hoehn and Yahr scale (HY, PD severity) at baseline and p...

Sample Entropy Estimation

healthlife sciencesmedicine

Sample Entropy is a useful tool for investigating the dynamics of heart rate and other time series. Sample Entropy is the negative natural logarithm of an estimate of the conditional probability that subseries (epochs) of length m that match pointwise within a tolerance r also match at the next point.

Samples of MR Images

healthlife sciencesmedicine

These magnetic resonance angiography (MRA) images show coronal slices acquired from consecutive anteroposterior positions within the torso. The study was performed on a 1.5T General Electric (GE) Signa imaging system with gadolinium-contrast-enhancement for visualization of the cardiopulmonary vasculature. The pulse sequence used was a 3D time-of-flight fast spoiled gradient recalled acquisition in steady state (FSPGR, TR=6.3, TE=1.4, NEX=1, FOV = 40cm, slice thickness = 1.2mm).

Santa Fe Time Series Competition Data Set B

healthlife sciencesmedicine

This is a multivariate data set recorded from a patient in the sleep laboratory of the Beth Israel Hospital (now the Beth Israel Deaconess Medical Center) in Boston, Massachusetts. This data set was extracted from record slp60 of the MIT-BIH Polysomnographic Database, and it was submitted to the Santa Fe Time Series Competition in 1991 by our group. The data are presented in text form and have been split into two sequential parts. Each line contains simultaneous samples of three parameters; the interval between samples in successive lines is 0.5 seconds. The first column is the heart rate, the...

ScientISST MOVE: Annotated Wearable Multimodal Biosignals recorded during Everyday Life Activities in Naturalistic Environments

healthlife sciencesmedicine

Existing datasets containing physiological data are mostly acquired at rest or in controlled scenarios. As a result, algorithms developed using such data may not perform as well as with biosignals acquired in dynamic and uncontrolled environments. ScientiSST MOVE is a multimodal dataset recording natural everyday activities, including lifting a chair, greeting, gesticulating, walking and running. Data was collected using three wearable devices, namely: a chestband, an armband, and the Empatica E4 wristband. This setup enabled recording of multi-channel Electrodermal Activity (EDA), Photoplethy...

SensSmartTech database of cardiovascular signals synchronously recorded by ECG, PCG, PPG and accelerometer

healthlife sciencesmedicine

The SensSmartTech database comprises cardiovascular signals synchronously recorded by electrocardiograph (ECG), phonocardiograph (PCG), photoplethysmograph (PPG) and accelerometer (ACC) at heart rates at rest and after activity (HRs). It is composed of 338 30-s recordings taken from 32 healthy volunteers. Recordings contain information from 10 channels: 4 ECG (limb, V3 and V4 leads), 1 PCG (measured at heart apex), 4 PPG (measured at carotid and brachial arteries at two light wavelengths each) and 1 ACC (measured between V3 and V4 ECG electrodes), along with the recording time of each signal. ...

Shiraz University Fetal Heart Sounds Database

healthlife sciencesmedicine

The Shiraz University (SU) fetal heart sounds database (SUFHSDB) contains fetal and maternal phonocardiogram (PCG) recordings from 109 pregnant women in single and twin pregnancies. The recordings were made at Hafez Hospital of Shiraz University of Medical Sciences, Shiraz, Iran, from mothers aged from 16 to 47 years with a digital stethoscope placed on the lower maternal abdomen. In total, 99 subjects had one signal recorded, three subjects had two and seven cases of twins were recorded individually, resulting in 119 recordings. The average duration of each record is about 90 seconds. The sam...

Siena Scalp EEG Database

healthlife sciencesmedicine

The database consists of EEG recordings of 14 patients acquired at the Unit of Neurology and Neurophysiology of the University of Siena. Subjects include 9 males (ages 25-71) and 5 females (ages 20-58). Subjects were monitored with a Video-EEG with a sampling rate of 512 Hz, with electrodes arranged on the basis of the international 10-20 System. Most of the recordings also contain 1 or 2 EKG signals. The diagnosis of epilepsy and the classification of seizures according to the criteria of the International League Against Epilepsy were performed by an expert clinician after a careful review of...

Simulated Fetal Phonocardiograms

healthlife sciencesmedicine

This data set is a series of synthetic fetal phonocardiographic signals (PCGs) relative to different fetal states and recording conditions.

Simultaneous physiological measurements with five devices at different cognitive and physical loads

healthlife sciencesmedicine

This open database contains physiological measurements from 13 adult and healthy subjects during a standardized experimental setup. The physiology was examined with five different devices (NeXus-10 MKII, eMotion Faros 360°, SOMNOtouch NIBP, Hexoskin Hx1, Polar RS800 Multi), which, in contrast to other studies, were recorded simultaneously. The experiment included a five minute baseline measurement, five minute walking on the treadmill, a five minute cognitive audio test, and a five minute uphill walking on the treadmill. Measurements included electrocardiography (ECG), photoplethysmography, ac...

Sleep Bioradiolocation Database

healthlife sciencesmedicine

The database contains 32 records of non-contact sleep monitoring by a bioradar. The records are accompanied by results of sleep scoring, based on polysomnography according to the rules of the American Academy of Sleep Medicine.

Sleep Heart Health Study PSG Database

healthlife sciencesmedicine

The Sleep Heart Health Study (SHHS) is a prospective cohort study designed to investigate the relationship between sleep disordered breathing and cardiovascular disease.

Sleep-EDF Database

healthlife sciencesmedicine

The sleep-edf database contains whole-night PolySomnoGraphic sleep recordings, containing EEG, EOG, chin EMG, and event markers.

Sleep-EDF Database Expanded

healthlife sciencesmedicine

The sleep-edf database contains 197 whole-night PolySomnoGraphic sleep recordings, containing EEG, EOG, chin EMG, and event markers. Some records also contain respiration and body temperature. Corresponding hypnograms (sleep patterns) were manually scored by well-trained technicians according to the Rechtschaffen and Kales manual, and are also available.

Smart Health for Assessing the Risk of Events via ECG Database

healthlife sciencesmedicine

The SHAREE database was developed in order to investigate the possibility to identify hypertensive subjects at higher risk to develop vascular events based on Heart Rate Variability analysis. The research material in the SHAREE database included nominal 24-h electrocardiographic (ECG) Holter recordings of 139 hypertensive patients recruited at the Centre of Hypertension of the University Hospital of Naples Federico II, Naples, Italy.

Software for Analysis of Multifractal Time Series

healthlife sciencesmedicine

Software for calculating multifractal partitions and moments of a time series.

Software for computing Heart Rate Fragmentation

healthlife sciencesmedicine

Heart rate fragmentation (HRF) is a new method for assessing neuroautonomic integrity based on the analysis of short-term (high-frequency [HF]) heart rate dynamics. The code (in AWK) provided here is for the computation of three different metrics, PIP, PNNLS, and PNNSS introduced in 2017 by Costa and colleagues. The motivation for developing HRF was the recognition that changes in heart rate (HR) above the respiratory frequency not only inflate the value of traditional heart rate variability (HRV) metrics, such as rMSSD and HF power, but are a dynamical marker of cardioautonomic dysfunction. I...

Spontaneous Ventricular Tachyarrhythmia Database

healthlife sciencesmedicine

This database contains 135 pairs of RR interval time series, recorded by implanted cardioverter defibrillators (Medtronic Jewel PlusTM ICD 7218) in 78 subjects. Each series contains between 986 and 1022 RR intervals. One series of each pair includes a spontaneous episode of ventricular tachycardia (VT) or ventricular fibrillation (VF), and the other is a sample of the intrinsic (usually sinus) rhythm.

Squid Giant Axon Membrane Potential

healthlife sciencesmedicine

The SGAMP database contains single-unit neuronal recordings of North Atlantic squid (Loligo pealei) giant axons in response to stimulus currents. The membrane potential and stimulus current are given for a total of 170 trials across 8 different axons.

St Petersburg INCART 12-lead Arrhythmia Database

healthlife sciencesmedicine

This database consists of 75 annotated recordings extracted from 32 Holter records. Each record is 30 minutes long and contains 12 standard leads, each sampled at 257 Hz, with gains varying from 250 to 1100 analog-to-digital converter units per millivolt.

St. Vincent's University Hospital / University College Dublin Sleep Apnea Database

healthlife sciencesmedicine

This database contains 25 full overnight polysomnograms with simultaneous three-channel Holter ECG, from adult subjects with suspected sleep-disordered breathing. A revised version of this database was posted on 1 September 2011.

Stress Recognition in Automobile Drivers

healthlife sciencesmedicine

This database, contributed to PhysioNet by its creator, Jennifer Healey, contains a collection of multiparameter recordings from healthy volunteers, taken while they were driving on a prescribed route including city streets and highways in and around Boston, Massachusetts. The objective of the study for which these data were collected was to investigate the feasibility of automated recognition of stress on the basis of the recorded signals, which include ECG, EMG (right trapezius), GSR (galvanic skin resistance) measured on the hand and foot, and respiration.

Sudden Cardiac Death Holter Database

healthlife sciencesmedicine

PhysioNet has inaugurated a Sudden Cardiac Death Database to support research and to stimulate progress in this important area of electrophysiology. We initiate this database with 23 complete Holter recordings (originally collected by Scott Greenwald while he was at MIT), from which half-hour excerpts have been available to researchers since 1989 as the MIT-BIH Malignant Ventricular Arrhythmia Database. The database currently includes 18 patients with underlying sinus rhythm (4 with intermittent pacing), 1 who was continuously paced, and 4 with atrial fibrillation. All patients had a sustained...

Surface electromyographic signals collected during long-lasting ground walking of young able-bodied subjects

healthlife sciencesmedicine

The present dataset is composed of long-lasting (around 5 minutes) surface electromyographic (sEMG) signals recorded from 2011 and 2018 during ground walking of 31 young (20 years < age < 30 years) able-bodied subjects in the Movement Analysis Lab, Università Politecnica delle Marche, Ancona, Italy. Underweight, overweight, and obese people (body mass index, BMI < 18.5 Kg/m2 and BMI > 25 Kg/m2) and subjects affected by any pathological condition, joint pain, or undergone orthopedic surgery are not included in the present dataset. sEMG signals are acquired from the following ten dif...

Surrogate Data with Correlations, Trends, and Nonstationarities

healthlife sciencesmedicine

The data in this collection include: (1) 6 surrogate stationary signals with different correlations; (2) 7 surrogate correlated signals with linear, sinusoidal and power-law trends; and (3) 15 surrogate correlated signals with different types of nonstationarities. Each data file contains one column of data in ASCII format.

T-Wave Alternans Challenge Database

healthlife sciencesmedicine

This database has been assembled for the PhysioNet/Computers in Cardiology Challenge 2008. It contains 100 multichannel ECG records sampled at 500 Hz with 16 bit resolution over a ± 32 mV range. The subjects include patients with myocardial infarctions, transient ischemia, ventricular tachyarrhythmias, and other risk factors for sudden cardiac death, as well as healthy controls and synthetic cases with calibrated amounts of T-wave alternans.

Tappy Keystroke Data

healthlife sciencesmedicine

This is the keystroke dataset for the study titled 'High-accuracy detection of early Parkinson's Disease using multiple characteristics of finger movement while typing'. This research report is currently under review for publication by PLOS ONE. The dataset contains keystroke logs collected from over 200 subjects, with and without Parkinson's Disease (PD), as they typed normally on their own computer (without any supervision) over a period of weeks or months (having initially installed a custom keystroke recording app, Tappy). This dataset has been collected and analyzed in ord...

Term-Preterm EHG DataSet with Tocogram

healthlife sciencesmedicine

The Term-Preterm ElectroHysteroGram DataSet with Tocogram (TPEHGT DS) contains 26 four-signal 30-min uterine EHG records, i.e., three EHG signals accompanied by a simultaneously recorded external tocogram measuring mechanical uterine activity (TOCO signal) of pregnant women, and another five 30-min uterine records (EHG signals and TOCO signal) of non-pregnant women.

Term-Preterm EHG Database

healthlife sciencesmedicine

The Electrohysterogram records (uterine EMG records) included in the Term-Preterm ElectroHysteroGram DataBase (TPEHG DB) were obtained from 1997 to 2005 at the University Medical Centre Ljubljana, Department of Obstetrics and Gynecology. The records were obtained during regular check-ups either around the 22nd week of gestation or around the 32nd week of gestation.

The CirCor DigiScope Phonocardiogram Dataset

healthlife sciencesmedicine

A total number of 5272 heart sound recordings were collected from the main four auscultation locations of 1568 subjects, aged between 0 and 21 years (mean ± STD = 6.1 ± 4.3 years), with a duration between 4.8 to 80.4 seconds (mean ± STD = 22.9 ± 7.4 s), totaling more than 33.5 hours of recording. Each cardiac murmur in the dataset has been annotated in detail by a human annotator, in terms of timing, shape, pitch, grading, quality and location. Moreover, segmentation annotations regarding the location of fundamental heart sounds (S1 and S2) in the recordings have been obtained using a semi-sup...

The First Five Challenges Revisited: The PhysioNet/Computing in Cardiology Challenge 2005

healthlife sciencesmedicine

Our popular series of challenges presented in cooperation with Computers in Cardiology continues this year in a new mode. Participants are invited to choose one of the five previous challenges as a topic for a follow-up study: Detecting sleep apnea from the ECG Predicting paroxysmal atrial fibrillation RR interval time series modeling Distinguishing ischemic from non-ischemic ST changes Spontaneous termination of atrial fibrillation The problems posed by these challenges have continued to interest many researchers long after the final deadlines have passed. We encourage you to read the papers ...

Transfer Entropy With Partitioning

healthlife sciencesmedicine

This is a repository of MATLAB functions that can estimate transfer entropy (information flow) from one time series to another using a non-parametric partitioning algorithm.

Transformer-DeID: Deidentification of free-text clinical notes with transformers

healthlife sciencesmedicine

Sharing patient data such as clinical notes among clinicians and researchers is fundamental to advancements in clinical practice and biomedical research. Prior to distribution, it is often necessary and legally mandated to remove identifiers such as names, contact details, identification numbers, and dates to safeguard patient privacy. This process is known as deidentification. Here we provide a neural network model for the removal of patient identifiers from clinical text based upon Bidirectional Encoder Representations from Transformers (BERT) and two variations of BERT, namely Robustly Opti...

Treadmill Maximal Exercise Tests from the Exercise Physiology and Human Performance Lab of the University of Malaga

healthlife sciencesmedicine

The present database is an ensemble of the cardiorespiratory measurements acquired during 992 treadmill maximal graded exercise tests (GET) performed in the Exercise Physiology and Human Performance Lab of the University of Malaga. Heart rate, oxygen consumption, carbon dioxide generation, and pulmonary ventilation are measured on a breath-to-breath basis along with the treadmill speed during maximal effort tests. Participants are amateur and professional athletes are of ages ranging from 10 to 63 years old. The age, height, and weight of the participants are provided, as well as the temperatu...

Two-tiered response of cardiorespiratory-cerebrovascular networks to orthostatic challenge

healthlife sciencesmedicine

The authors used this dataset to evaluate the responsiveness of the cardiorespiratory-cerebrovascular networks by capturing linear and nonlinear interdependencies to postural changes. Ten young healthy adults participated in our study between December 2009 and February 2010 at Semmelweis University, Faculty of Medicine. Non-invasive measurements of arterial blood pressure (ABP), cardiac cycle duration (derived from ABP signals), breath-to-breath interval (capnography), cerebral blood flow velocity (BFV, recorded by transcranial Doppler sonography), and cerebral hemodynamics (hemoglobin signals...

UniCA ElectroTastegram Database (PROP)

healthlife sciencesmedicine

The UniCA ElectroTastegram Database (PROP) contains 39 differential biopotential measurements recorded from the tongues of as many healthy voluntary human subjects (16 males, 23 females, equally divided into the three PROP taster status classes), during a stimulation with 30uL, 3.2 mmol/L solution of 6-n-propylthiouracil (PROP).

VOICED Database

healthlife sciencesmedicine

This database includes 208 voice samples, from 150 pathological, and 58 healthy voices.

Video Pulse Signals in Stationary and Motion Conditions

healthlife sciencesmedicine

The data set contains 40 pulse signal recordings obtained from 15 healthy volunteers (12 men and 3 women between 23 and 35 years). For each subject, there is a simultaneous face video recording, and a finger pulse recording reference system, in a sitting position.

Visceral adipose tissue measurements during pregnancy

healthlife sciencesmedicine

This database is from a cohort study of pregnant women up to 20 weeks of pregnancy and followed until delivery. Measurement of maternal visceral adipose tissue (VAT) was performed during routine obstetric ultrasound. At this time, the biometric evaluation was also performed, and information obtained from prenatal care. Gestational outcomes, including gestational diabetes mellitus (GDM), were obtained through evaluating the patients' medical records at the hospitals where they took place. The data was collected as part of a study that sought to evaluate if maternal VAT could predict GDM at ...

Vital File Web Viewer: A Browser-Based Tool for Viewing High-Resolution Vital Signs Data

healthlife sciencesmedicine

Vital File Web Viewer is an open-source, browser-based tool for visualizing high-resolution vital signs data stored in the .vital format, commonly used during surgery or intensive care monitoring. The viewer enables seamless access to time-series waveform data across operating systems without requiring installation or server-side processing. This tool facilitates rapid data exploration and quality assessment in clinical research environments, particularly when centralized software infrastructure is unavailable.

VitalDB Arrhythmia Database: Anesthesiologist-Validated Intraoperative Arrhythmia Dataset with Beat and Rhythm Labels

healthlife sciencesmedicine

Intraoperative cardiac arrhythmias present distinct characteristics and clinical challenges compared to non-surgical environments, yet publicly available electrocardiogram (ECG) databases have primarily focused on ambulatory and intensive care environments. To address this gap, we present the VitalDB Arrhythmia Database, a comprehensive collection of annotated intraoperative ECG recordings specifically designed for developing and validating arrhythmia detection algorithms in the surgical context. The database comprises 734,528 seconds of continuous ECG data from 482 surgical patients, with ove...

WFDB SWIG

healthlife sciencesmedicine

The wfdb-swig package provides interfaces between the WFDB library and software written in a variety of other languages, so that such software can have access to the full range of capabilities supported by current and future versions of the WFDB library. The package provides interfaces for software written using Perl, Python, C# (and other .NET languages), and Java. The wfdb-swig package can be readily extended for use with other target languages supported by SWIG, such as PHP, Ruby, TCL, and several versions of Lisp.

WFDB SWIG Toolbox for MATLAB

healthlife sciencesmedicine

The WFDB SWIG Toolbox for MATLAB is a collection of applications for reading, writing, manipulating, and plotting PhysioBank data, implemented as functions in MATLAB.

WFDB Software Package

healthlife sciencesmedicine

Effective processing and analysis of physiological data requires specialized software. We have developed a large collection of such software over the past thirty years, and much of it is contained within the WFDB (Waveform Database) Software Package. The WFDB Software Package comprises over 70 applications for signal processing and automated analysis. A comprehensive collection of documentation, including tutorials and reference manuals, is also included in the package. The package is written in highly portable C and can be used on all popular platforms, including GNU/Linux, MacOS, MS-Windows,...

Waveform Database Software Package (WFDB) for MATLAB and Octave

healthlife sciencesmedicine

Physiological waveforms - such as electrocardiograms (ECG), electroencephalograms (EEG), electromyograms (EMG) - are generated during the course of routine care. These signals contain information that can be used to understand underlying conditions of health. Effective processing and analysis of physiological data requires specialized software. The WaveForm DataBase (WFDB) Toolbox for MATLAB and Octave is a collection of over 30 functions and utilities that integrate PhysioNet's open-source applications and databases with the high-precision numerical computational and graphics environment ...

Waveform Database Software Package (WFDB) for Python

healthlife sciencesmedicine

Physiological waveforms - such as electrocardiograms (ECG), electroencephalograms (EEG), electromyograms (EMG) - are generated during the course of routine care. These signals contain information that can be used to understand underlying conditions of health. Effective processing and analysis of physiological data requires specialized software. The waveform-database (WFDB) package for Python is a library of tools for reading, writing, and processing physiological signals and annotations, written in the Python programming language. Core components of the Python package are loosely based on the ...

Wearable Device Dataset from Induced Stress and Structured Exercise Sessions

healthlife sciencesmedicine

This original dataset contains physiological signals collected during structured acute stress induction and aerobic and anaerobic exercise sessions using a wearable device. Blood volume pulse, motion-based activity, skin temperature, and electrodermal activity were recorded with the Empatica E4, a research-grade wearable. The stress induction protocol involved math and emotional tasks designed to provoke stress responses, interleaved with rest periods. Self-reported stress levels were also recorded during this procedure. For the exercise sessions, distinct routines on a stationary bike were cr...

Wearable-based signals during physical exercises from patients with frailty after open-heart surgery

healthlife sciencesmedicine

This data collection contains a single-lead electrocardiogram and triaxial acceleration signals of 80 elderly frailty patients, who entered a cardiac rehabilitation program after open-heart surgery. The signals were collected using a chest-based heart rate monitor worn by the patients performing a series of exercise tests for health status assessment. The tests include veloergometry, 6-minute walk test, stair climbing test, timed up and go test, and gait analysis on a treadmill. The signals are supplemented with the demographic and clinical characteristics of the patients including the Edmonto...

Wide-field calcium imaging sleep state database

healthlife sciencesmedicine

A collection of wide-field calcium imaging (WFCI) sleep and wake recordings collected from twelve transgenic mice expressing GCaMP6f in excitatory neurons. Each mouse underwent a three-hour undisturbed WFCI recording session where wake, REM (rapid eye movement) sleep and NREM (non-REM) sleep was recorded. Each WFCI recording is manually scored by sleep scoring experts in 10-second epochs as wake, NREM or REM by use of adjunct EEG/EMG. The dataset contains annotated WFCI recordings, brain mask and the Paxinos atlas used for defining the brain regions. The dataset was collected as part of a stud...

Will Two Do? Varying Dimensions in Electrocardiography: The PhysioNet/Computing in Cardiology Challenge 2021

healthlife sciencesmedicine

The electrocardiogram (ECG) is a non-invasive representation of the electrical activity of the heart. Although the twelve-lead ECG is the standard diagnostic screening system for many cardiological issues, the limited accessibility of twelve-lead ECG devices provides a rationale for smaller, lower-cost, and easier to use devices. While single-lead ECGs are limiting [1], reduced-lead ECG systems hold promise, with evidence that subsets of the standard twelve leads can capture useful information [2], [3], [4] and even be comparable to twelve-lead ECGs in some limited contexts. In 2017 we challen...

Wilson Central Terminal ECG Database

healthlife sciencesmedicine

The Wilson Central Terminal ECG Database (WCTECGdb) contains the Wilson Central Terminal (WCT), the voltage of right arm (RA), left arm (LA) and left leg (LL), six unipolar chest leads associated with three limb leads and six precordial leads. With our ECG device, the potentials of RA, LA, LL and six true unipolar leads are measured using the right leg as the reference point. Having this configuration, we have been able to overcome the difficulty of recording the WCT in a clinical setting. Our data confirmed once again that the WCT does not have a small value, and could be as high as 241% of l...

Wrist PPG During Exercise

healthlife sciencesmedicine

This database contains wrist PPGs recorded during walking, running and bike riding. Simultaneous motion estimates are collected using both accelerometers and gyroscopes to give multiple options for the removal of motion interference from the PPG traces. A reference chest ECG is included to allow a gold-standard comparison of heart rate during exercise.

You Snooze You Win: The PhysioNet/Computing in Cardiology Challenge 2018

healthlife sciencesmedicine

The goal of the challenge is use information from the available signals to correctly classify target arousal regions.

bigP3BCI: An Open, Diverse and Machine Learning Ready P300-based Brain-Computer Interface Dataset

healthlife sciencesmedicine

Brain–computer interfaces (BCIs) have wide-ranging applications as solutions for replacing or substituting neural output that has been lost because of severe neuromuscular injury or disease, such as individuals with late-stage amyotrophic lateral sclerosis (ALS). The P300-based BCI is one of the most commonly researched BCI for communication. This BCI dataset is curated from data originally generated from previous visual P300-based BCI speller studies, which include single- and multi-session experiments under a wide range of conditions. The BCI data are provided in an enriched and standardised...

edf-anonymize

healthlife sciencesmedicine

edf-anonymize reads an EDF or EDF+ file (input), writing an anonymized copy of it as output.

neuroQWERTY MIT-CSXPD Dataset

healthlife sciencesmedicine

The neuroQWERTY MIT-CSXPD database contains keystroke logs collected from 85 subjects with and without parkinsons disease (PD). This dataset has been collected and analyzed in order to indicate that the routine interaction with computer keyboards can be used to detect motor signs in the early stages of PD.

pNNx - Time Domain Heart Rate Variability Analysis

healthlife sciencesmedicine

The pNNx software package expands the analysis capabilities of the widely used pNN50 measure, providing researchers with the flexibility to test various thresholds for optimal discrimination of HRV in populations of interest.

plt - Software for 2D Plots

healthlife sciencesmedicine

plt is a non-interactive plotting utility originally written for Unix by Paul Albrecht. plt can produce publication-quality 2D plots in PostScript from easily-produced text or binary data files, and can also create screen plots under the X Window System.

tOLIet: Single-lead Thigh-based Electrocardiography Using Polimeric Dry Electrodes

healthlife sciencesmedicine

Our team previously introduced an innovative concept for an "invisible" Electrocardiography (ECG) system, incorporating electrodes and sensors into a toilet seat design to enable signal acquisition from the thighs. Building upon that work, we now present a novel dataset featuring real-world, single-lead ECG signals captured at the thighs, offering a valuable resource for advancing research on thigh-based ECG for cardiovascular disease assessment. To our knowledge, this is the first dataset of its kind. The tOLIet dataset comprises 149 ECG recordings collected from 86 individuals (50 ...