Resources


Database Open Access

MIT-BIH Normal Sinus Rhythm Database

Long-term ECG recordings of 18 subjects referred to the Arrhythmia Laboratory at Boston's Beth Israel Hospital.

sinus normal ecg

Published: Aug. 3, 1999. Version: 1.0.0

Visualize waveforms

Software Open Access

Software for computing Heart Rate Fragmentation

Madalena Costa

Heart rate fragmentation: a new method for the analysis of cardiac interbeat interval time series. The code provided can be run in Windows, Mac and Linux machines.

heart rate variability aging cardiovascular disease vagal tone time series analysis prediction of atrial fibrillation cardiac autonomic function prediction of cardiovascular events prediction of cognitive decline heart rate fragmentation

Published: Feb. 14, 2024. Version: 1.0.0

Database Open Access

Neurophysiological Dataset of Stress Resilience During Human-Computer Interaction

Shotabdi Roy, Joseph Nuamah

This dataset contains multimodal neurophysiological and physiological recordings collected from participants performing cognitively demanding tasks to study the temporal dynamics of stress resilience during human-computer interaction

Published: Feb. 27, 2026. Version: 1.0.0

Database Open Access

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

Aline Santos Silva, Hugo Plácido da Silva, Miguel Correia, et al.

We present tOLIet, the first thigh ECG dataset with real signals captured by a toilet seat with electrodes. There are 149 recordings from 86 people, useful for research into cardiovascular assessment using "invisible" ECG.

Published: Feb. 2, 2026. Version: 1.0.1

Database Credentialed Access

Bridge2AI-Voice Pediatric Dataset

Yael Bensoussan, Alexandros Sigaras, Anais Rameau, et al.

A dataset of questionnaire responses, spectrograms, and other information for pediatric participants collected for the Bridge2AI voice as a biomarker of health project.

voice bridge2ai

Published: Dec. 17, 2025. Version: 1.0.0

Database Restricted Access

EchoNext: A Dataset for Detecting Echocardiogram-Confirmed Structural Heart Disease from ECGs

Pierre Elias, Joshua Finer

EchoNext is a curated dataset of electrocardiograms (ECGs) paired with echocardiogram-confirmed structural heart disease labels, designed to support the development and validation of machine learning models.

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Published: Sept. 16, 2025. Version: 1.1.0

Database Open Access

Myocardial perfusion scintigraphy image database

Wesley Calixto, Solange Nogueira, Fernanda Luz, et al.

This database provides a collection of myocardial perfusion scintigraphy images. The dataset encompasses a diversity of clinical cases, including various perfusion patterns and underlying cardiac conditions.

nifti artificial intelligence anonymization clinical diagnosis myocardial perfusion systems modeling myocardial perfusion scintigraphy metadata ventricular walls coronary artery disease convolutional neural networks automated segmentation dicom

Published: Sept. 9, 2025. Version: 1.0.0

Database Open Access

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

Boyla Mainsah, Chance Fleeting, Thomas Balmat, et al.

A collection of data from P300-based brain-computer interface studies.

brain-computer interface electroencephalography ieee p2731 working group standard amyotrophic lateral sclerosis p300 speller p300 event related potential oddball paradigm error-related potential

Published: May 19, 2025. Version: 1.0.0

Database Credentialed Access

FDTooth: Intraoral Photographs and Cone-Beam Computed Tomography Images for Fenestration and Dehiscence Detection

Yanqi Yang, Xiaomeng LI, Keyuan Liu, et al.

FDTooth is a dataset containing intraoral photographs and cone-beam computed tomography (CBCT) images with annotations for automated detection of fenestration and dehiscence in anterior teeth.

Published: May 5, 2025. Version: 1.0.0

Database Open Access

Brno University of Technology Smartphone PPG Database (BUT PPG)

Andrea Nemcova, Radovan Smisek, Eniko Vargova, et al.

BUT PPG is a database created for the purpose of evaluating PPG signal quality and estimation of heart rate. The data comprises 3,888 10s recordings of PPGs recorded by smartphone and associated ECG and ACC signals and annotations.

heart rate artificial intelligence ppg ecg photoplethysmography acc signal quality assessment annotations accelerometric data electrocardiogram

Published: Aug. 23, 2024. Version: 2.0.0