Resources


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 Credentialed Access

MIMIC-IV-ECHO: Echocardiogram Matched Subset

Brian Gow, Tom Pollard, Nathaniel Greenbaum, et al.

The MIMIC-IV-ECHO module contains more than 500,000 echocardiograms across more than 4,500 unique patients. These patients overlap with the patients from the MIMIC-IV Clinical Database.

Published: July 21, 2023. Version: 0.1

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

Database Open Access

Cerebromicrovascular Disease in Elderly with Diabetes

Vera Novak, Rodrigo Quispe

Type 2 diabetes increases risk for cerebrovascular disease, cognitive and mobility decline in older people. This project evaluated relationship between diabetes, inflammation cerebrovascular reactivity and functional outcomes.

gait and balance brain perfusion inflammation type 2 diabetes cerebromiscovascular disease cerebral vasoreactivity brain atrophy perfusion mri

Published: Aug. 5, 2022. Version: 1.0.1

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Challenge Open Access

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

Matthew Reyna, Nadi Sadr, Annie Gu, et al.

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

challenge cardiac abnormalities multilead ecgs classification competition

Published: July 29, 2022. Version: 1.0.3

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Challenge Open Access

Classification of 12-lead ECGs: The PhysioNet/Computing in Cardiology Challenge 2020

Erick Andres Perez Alday, Annie Gu, Amit Shah, et al.

The goal of the 2020 PhysioNet - Computing in Cardiology Challenge is to design and implement a working, open-source algorithm that can automatically identify cardiac abnormalities in 12-lead ECG recordings.

Published: July 29, 2022. Version: 1.0.2

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Database Open Access

Cardiorespiratory measurement from graded cycloergometer exercise testing

Clovis Chabert, Denis Mongin, Eric Hermand, et al.

Cardiorespiratory measurements acquired during 18 exercise tests performed at French West Indies University

Published: June 30, 2022. Version: 1.0.0

Database Open Access

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

Md Rafiul Amin, Dilranjan Wickramasuriya, Rose T Faghih

The data contains electrodermal activity, heart rate, blood volume pulse, skin surface temperature, inter beat interval and accelerometer data recorded during three exam sessions (midterm 1, midterm 2 and finals) as well as their corresponding grades

stress

Published: May 26, 2022. Version: 1.0.0

Database Open Access

ECG Fragment Database for the Exploration of Dangerous Arrhythmia

Anatoly Nemirko, Liudmila Manilo, Anna Tatarinova, et al.

Dataset derived from the MIT-BIH Malignant Ventricular Ectopy Database.

short ecg fragments dangerous arrhythmias ecg

Published: March 17, 2022. Version: 1.0.0

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