Resources


Database Open Access

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

Marta Karas, Jacek Urbanek, Ciprian Crainiceanu, et al.

Labeled raw accelerometry data collected during outdoor walking, stair climbing, and driving for 32 healthy adults. Data were collected simultaneously at four body locations: left wrist, left hip, both ankles.

actigraph accelerometers walking activity activity monitor driving activity raw accelerometry data activity meter activity recognition accelerometry physical activity accelerometer

Published: June 26, 2021. Version: 1.0.0

Database Open Access

Non-EEG Dataset for Assessment of Neurological Status

Non-EEG physiological signals collected using non-invasive wrist worn biosensors and consists of electrodermal activity, temperature, acceleration, heart rate, and arterial oxygen level.

acceleration multiparameter electrodermal activity heart rate temperature

Published: July 19, 2017. Version: 1.0.0

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Database Open Access

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

Diego Alvarez-Estevez

The HMC-IPA dataset comprises 20 PSG recordings, each with manual and computer-assisted scorings by 12 sleep technologists, for studying inter-scorer variability and evaluating automated sleep analysis algorithms

Published: Jan. 8, 2026. Version: 1.0.0

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Database Open Access

CGMacros: a scientific dataset for personalized nutrition and diet monitoring

Ricardo Gutierrez-Osuna, David Kerr, Bobak Mortazavi, et al.

CGMacros contains information from two continuous glucose monitors (CGM), food macronutrients, food photographs, physical activity, and anonymized participant demographics, anthropometric measurements and health parameters.

diabetes machine learning continuous glucose monitors obesity postprandial glucose response food macronutrients metabolic models food photographs personalized nutrition

Published: Jan. 28, 2025. 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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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

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

Itziar Fernández, Ruben Cuadrado Asensio, Yolanda Larriba, et al.

336 CSV records with 1354 PERG responses (microvolts) from 304 subjects at IOBA. Includes age (years), gender, diagnoses, and visual acuity in logMar scale.

Published: Jan. 19, 2024. Version: 1.0.0

Database Open Access

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

Hamza Khan, Lotte Geys, peer baneke, et al.

This dataset is part of the Global Data Sharing Initiative. The data was acquired by people with MS and clinicians using a fast data entry tool. The dataset includes demographics, comorbidities and hospital stay and COVID-19 symptoms of PwMS.

Published: Jan. 2, 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

Challenge Open Access

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

Matthew Reyna, Yashar Kiarashi, Andoni Elola, et al.

2022 Physionet Challenge is devoted to detecting the presence or absence of murmurs from multiple heart sound recordings from multiple auscultation locations, as well as detecting the clinical outcomes.

challenge competition cardiac auscultation congenital heart diseases

Published: Sept. 28, 2023. Version: 1.0.0