Wi-Fi CSI Sensing for Sleep Disturbances in the Care of Older People

Citation Author(s):
Aaesha
Alzaabi
The University of Edinburgh
Tughrul
Arslan
The University of Edinburgh
Nick
Polydorides
The University of Edinburgh
Submitted by:
Aaesha Alzaabi
Last updated:
Tue, 09/17/2024 - 05:36
DOI:
10.21227/4rwc-1714
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Abstract 

This dataset contains Wi-Fi sensing data using Channel State Information (CSI) for various sleep disturbance parameters, from respiratory disturbances, to motion-based disturbances from posture shifts, leg restlessness and confusional arousals.The Wi-Fi CSI data was collected using the Wi-Fi module on the ESP32 Microcontroller units using the esp32-csi-tool.The Wi-Fi CSI respiratory disturbance data is accompanied by respiration belt data taken with the Wi-Fi measurements simultaneously using the Neulog NUL-236 respiration belt logger as ground truth. The motion-based sleep disturbances are accompanied by a timestamped actionsheet. The dataset was collected from experiments designed to investigate the monitoring sleep-disordered breathing and disturbances using Wi-Fi CSI-based non-contact sensors in the context of care of older people.

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