Chronic insomnia and bed partner actigraphy data

The files contain seven nights of continuous actigraphy measurements of 40 subjects with chronic insomnia and their 40 bed partners. Wrist actigraphy was used, collected for one week using Respironics Actiwatch Spectrum Pro and Actiware software (Respironics, Bend, OR, USA), with movement counts were sampled in 60-second epochs. All recruited subjects wore the devices at all times during day and night. All subjects were free to move and were not prohibited from doing any activities of daily living. The actigraphy data files are first processed to extract features followed by machine learning model, which used these features to classify subjects in chronic insomnia subjects and normal sleepers.本数据集包含40名慢性失眠症受试者及其40名同床睡眠者共计7晚的连续活动记录仪监测（actigraphy）数据。本次研究采用腕部活动记录仪监测法，使用Respironics品牌的Actiwatch Spectrum Pro设备与Actiware软件（Respironics，美国俄勒冈州本德市）开展为期一周的数据采集，以60秒为采样时段（epoch）记录活动计数。所有入组受试者昼夜全程佩戴该监测设备，可自由活动且未被限制开展任何日常活动。本数据集的活动记录仪监测数据文件首先将进行特征提取处理，随后输入机器学习模型，由该模型基于提取的特征将受试者划分为慢性失眠症患者与正常睡眠者。