Continuous multi-sensor wearable data and daily subject-reported fatigue of heathy adults

Fatigue is a broad, multifactorial concept encompassing feelings of reduced physical and mental energy levels. Fatigue strongly impacts health-related quality of life across a huge range of conditions, yet, to date, tools available to understand fatigue are limited. We collected a total of 28 healthy adult subjects and 973 recording days. Recorded data included continuous multimodal wearable sensor time series on physical activity, vital signs, and other physiological parameters at 1-minute temporal resolution, and daily questionnaires (patient-reported outcome scores, PROs) on fatigue. When matching both sensor data and PROs, the datasets contains data from 27 subjects and 405 recording days. Analysis of these multimodal digital data to inform, quantify, and augment subjectively captured non-pathological fatigue measures were published at <em>Luo H., et. al. (2020), Assessment of Fatigue Using Wearable Sensors: A Pilot Study. Digit Biomark</em>. Demographics, sensor parameters and other information on this dataset can be found in the aforementioned manuscript and related supplementary material. Files included are <em>fatiguePROs.csv</em>: daily PROs for all subjects subjectID_*.csv: sensor time series for each subject疲劳是一个宽泛且多因素的概念，涵盖身体与精神能量水平下降的主观感受。疲劳会对诸多病症患者的健康相关生活质量造成严重影响，但截至目前，用于深入解析疲劳的可用工具仍较为有限。 本研究共招募28名健康成年受试者，累计获取973天的记录数据。所采集的数据包含以1分钟时间分辨率获取的、覆盖身体活动、生命体征及其他生理参数的多模态可穿戴传感器连续时序数据，以及用于评估疲劳的每日问卷（含患者报告结局评分，Patient-Reported Outcome Scores，PROs）。 在将传感器数据与PROs数据进行匹配后，本数据集最终纳入27名受试者的405天记录数据。本团队针对上述多模态数字数据开展分析，以阐释、量化并优化主观采集的非病理性疲劳评估指标，相关研究成果已发表于论文《Luo H.等人（2020）：使用可穿戴传感器评估疲劳：一项预试验研究》，刊载于*Digit Biomark*。 本数据集的人口统计学信息、传感器参数及其他相关细节可参见上述论文及其补充材料。本数据集包含以下文件：*fatiguePROs.csv*：所有受试者的每日PROs数据；subjectID_*.csv：各受试者的传感器时序数据。