Resources


Database Open Access

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

Olivia Walch

Motion data and heart rate measurements from Apple Watches from sleeping people undergoing polysomnography.

sleep polysomnography

Published: Oct. 8, 2019. Version: 1.0.0

Database Open Access

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

Eduardo Illueca Fernandez, Ricardo Couceiro, Farhad Abtahi, et al.

Impedance cardiography dataset (ICG) which combines the ICG signals and other methodologies with the golden standard echocardiographys (ECG). Researchers can use this dataset to compare the ICG points with the real hemodynamic events.

machine learning cardiovascular physiology electrophysiological study echocardiography impedance cardiography

Published: Nov. 2, 2025. Version: 1.0.0

Database Restricted Access

OpenOximetry Repository

Nicholas Fong, Michael Lipnick, Philip Bickler, et al.

A repository of matched arterial oxygen and pulse oximeter readings obtained under controlled conditions, with high-frequency physiologic waveforms and skin color measurements.

Published: Feb. 28, 2025. Version: 1.1.1

Database Open Access

A Multimodal Dataset for Investigating Working Memory in Presence of Music

Saman Khazaei, Srinidhi Parshi, Samiul Alam, et al.

A multimodal dataset containing fNIRS data along with a wide range of physiological signals like EDA, HR, PPG, etc over the course of n-back experiments in presence of music.

Published: Feb. 26, 2025. Version: 1.0.0

Database Open Access

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

João Areias Saraiva, Mariana Abreu, Ana Sofia Carmo, et al.

Multimodal (ECG, EMG, EDA, PPG, TEMP, ACC) biosignal dataset of everyday activities. Created with 3 wearable devices based on ScientISST Sense and Empatica E4.

greet lift uncontrolled environments run jump gesticulate walk wearable multimodal

Published: March 25, 2024. Version: 1.0.1

Database Open Access

Regulation of Brain Cognitive States through Auditory, Gustatory, and Olfactory Stimulation with Wearable Monitoring

Hamid Fekri Azgomi, Luciano Branco, Md Rafiul Amin, et al.

This dataset explores safe actuation (music, perfume, coffee) for enhancing cognitive states. It includes subjects’ responses, reaction times, and physiological data (EDA, HR, BVP, PPG, temperature, accelerometer, EEG) during n-back memory tasks.

eeg music signal processing heart rate physiological signals neurophysiology coffee empatica n-back experiments perfume wearable devices control systems memory task muse closed-loop brain cognitive states skin conductance

Published: Dec. 18, 2023. Version: 1.0.0

Database Open Access

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

Marcus Vollmer, Dominic Bläsing, Julian Elias Reiser, et al.

Dataset to support comparison of usability and accuracy from simultaneous measurements collected from 13 subjects including five devices: NeXus-10 MKII, eMotion Faros 360°, Hexoskin Hx1, SOMNOTouch NIBP, Polar RS800 Multi.

holter multiparameter photoplethysmogram noise accelerometer heart rate movement temperature hrv respiration ecg

Published: Jan. 18, 2023. Version: 1.0.2

Visualize waveforms

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 acc signal quality assessment annotations accelerometric data photoplethysmography electrocardiogram

Published: Aug. 23, 2024. Version: 2.0.0

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 acc signal quality assessment annotations accelerometric data photoplethysmography electrocardiogram

Published: Aug. 23, 2024. Version: 2.0.0