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Database Open Access

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

Daivaras Sokas, Monika Butkuvienė, Egle Tamulevičiūtė-Prascienė, Aurelija Beigienė, Raimondas Kubilius, Andrius Petrėnas, Birutė Paliakaitė

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.

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

Published: March 31, 2022. Version: 1.0.0

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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

Epicardially attached cardiac accelerometer data from canines and porcines

Ali Wajdan, Tollef Jahren, Manuel Villegas-Martinez, Magnus Krogh, Faraz Hameed Khan, Andreas Espinoza, Per Steinar Halvorsen, Hans Henrik Odland, Ole Jakob Elle, Espen W Remme

The dataset contains data recorded from epicardially attached accelerometer to canines' and porcines' hearts. The data comprises of tri-axial acceleration signals, left ventricular pressure (LVP), rate of change of LVP and in some cases ECG as well.

heart accelerometer aortic valve mitral valve

Published: Jan. 5, 2023. Version: 1.0.0


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