Resources


Database Open Access

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

Daivaras Sokas, Monika Butkuvienė, Egle Tamulevičiūtė-Prascienė, et al.

A data collection contains a wearable-based electrocardiogram and triaxial acceleration signals of 80 elderly patients with frailty after an open-heart surgery. The signals were collected while the patients were performing a series of exercise tests.

heart rate response frailty posture veloergometry timed up and go stair climbing physical exercise heart rate reserve rehabilitation accelerometer aging gait walk test heart rate balance wearable electrocardiogram

Published: March 31, 2022. Version: 1.0.0

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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.

heart failure clinical decision support artificial intelligence health equity ecg machine learning deep learning electrocardiogram aortic stenosis cardiovascular screening valvular heart disease digital health ai model deployment left ventricular dysfunction ai in healthcare population health transthoracic echocardiogram structural heart disease

Published: Sept. 16, 2025. Version: 1.1.0

Software Open Access

A Cardiovascular Simulator for Research

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 componen…

cardiovascular simulation

Published: Sept. 19, 2001. Version: 1.0.0

Database Open Access

SensSmartTech database of cardiovascular signals synchronously recorded by an electrocardiograph, phonocardiograph, photoplethysmograph and accelerometer

Aleksandar Lazović, Predrag Tadić, Natalija Đorđević, et al.

SensSmartTech is a unique multiparametric dataset recorded systematically at rest and during the relaxation after activity. It contains the simultaneously recorded electrocardiogram, phonocardiogram, arterial plethysmograms and seismocardiogram.

Published: Dec. 19, 2024. Version: 1.0.0

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Database Restricted Access

Electrocardiogram-Capable Smartwatches: Assessing Their Clinical Accuracy and Application

Joaquin Recas, Mauro Buelga Suárez, Sergio González-Cabeza, et al.

This database allows the study of the feasibility of using ECG-capable smartwatches as diagnostic tools, focusing on their compliance with clinical standards and their ability to measure critical ECG parameters beyond AF detection.

ischemia fitbit sense ambulatory samsung galaxy watch st-segment apple watch withings scanwatch smartwatch

Published: April 9, 2025. Version: 1.0.0

Database Restricted Access

Multimodal Physiological Indices During Surgery Under Anesthesia

Sandya Subramanian, Bryan Tseng, Riccardo Barbieri, et al.

Multimodal physiological indices collected during surgery when patients were under anesthesia

anesthesia nociception

Published: Aug. 23, 2024. Version: 1.0

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

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

BIG IDEAs Lab Glycemic Variability and Wearable Device Data

Peter Cho, Juseong Kim, Brinnae Bent, et al.

Glucose measurements and wrist-worn wearable sensor data from highnormoglycemic participants.

biomedical engineering pre-diabetes biomarkers

Published: Sept. 18, 2023. Version: 1.1.2

Database Open Access

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

Nan Gao, Max Marschall, Jane Burry, et al.

The project aims to understand occupants’ behaviour, engagement, emotion, and comfort indoors with heterogeneous sensors and wearables.

electrodermal activity heart rate physiological signals environmental sensing thermal comfort modelling occupant behaviour sensing emotion sensing human behavoural modelling smart building

Published: Feb. 13, 2023. Version: 1.0.0