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

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.

本数据集包含基于信道状态信息（Channel State Information, CSI）的Wi-Fi感知数据，覆盖各类睡眠干扰参数，涵盖呼吸干扰，以及由体位偏移、腿部躁动和意识模糊性觉醒引发的运动型睡眠干扰。该Wi-Fi CSI数据通过搭载于ESP32微控制器的Wi-Fi模块，结合esp32-csi-tool工具采集得到。针对呼吸干扰的Wi-Fi CSI数据，同步搭配了由Neulog NUL-236呼吸带记录仪采集的呼吸带数据作为基准真值。运动型睡眠干扰数据则附带了带时间戳的动作记录表。本数据集源自相关实验，该实验旨在探究基于Wi-Fi CSI的非接触式传感器在老年人护理场景中，对睡眠呼吸紊乱及各类睡眠干扰的监测效能。