Resources


Database Open Access

RR interval time series from healthy subjects

Isabel María Irurzun, Leopoldo Garavaglia, Maria Magdalena Defeo, Julieta Thomas Mailland

This database contains RR intervals time series from healthy subjects aged between 1month and 55 years

rr time series healthy subjects from newly born to adult heart rate variability

Published: Aug. 30, 2021. Version: 1.0.0


Database Open Access

Pulse Amplitudes from electrodermal activity collected from healthy volunteer subjects at rest and under controlled sedation

Sandya Subramanian, Patrick Purdon, Riccardo Barbieri, Emery Brown

This database of pulse times and amplitudes from electrodermal activity was collected from 11 healthy volunteer subjects who were awake and at rest and 11 (different) healthy volunteer subjects who were under controlled propofol sedation.

autonomic nervous system anesthesia sweat gland activity sympathetic nervous system propofol electrodermal activity

Published: June 30, 2021. Version: 1.0


Database Open Access

RR interval time series from healthy subjects

Isabel María Irurzun, Leopoldo Garavaglia, Maria Magdalena Defeo, Julieta Thomas Mailland

This database contains RR intervals time series from healthy subjects aged between 1month and 55 years

rr time series healthy subjects from newly born to adult heart rate variability

Published: Aug. 30, 2021. Version: 1.0.0


Database Credentialed Access

Electrodermal Activity of Healthy Volunteers while Awake and at Rest

Sandya Subramanian, Patrick Purdon, Riccardo Barbieri, Emery Brown

This database of electrodermal activity was collected from 11 healthy volunteer subjects who were awake and at rest in seated position and 11 (different) healthy volunteer subjects who were under computer-controlled propofol sedation.

autonomic nervous system anesthesia sweat gland activity sympathetic nervous system propofol electrodermal activity

Published: Aug. 26, 2021. Version: 2.0


Database Open Access

Gait in Aging and Disease Database

Walking stride interval time series from 15 subjects.

aging gait

Published: Oct. 13, 2000. Version: 1.0.0

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Database Open Access

Fantasia Database

ECG and respiration signals collected from 40 young and elderly subjects during supine resting.

multiparameter ecg respiration

Published: March 2, 2003. 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

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

Marcus Vollmer, Dominic Bläsing, Julian Elias Reiser, Maria Nisser, Anja Buder

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 ecg movement temperature hrv respiration

Published: Jan. 18, 2023. Version: 1.0.2

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Database Open Access

Pulse Transit Time PPG Dataset

Philip Mehrgardt, Matloob Khushi, Simon Poon, Anusha Withana

Time synchronised multi-site PPG dataset for PTT including sensors’ attachment pressures, temperatures, inertial data from accelerometer and gyroscope, annotated ECG data, blood pressures, as well as blood oxygenation saturation levels (SpO2)

blood pressure finger attachment pressure ptt imu spo2 gyroscope attachment force pulse transit time ppg accelerometer ecg

Published: March 18, 2022. Version: 1.1.0

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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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