ScientISST MOVE: Annotated Wearable Multimodal Biosignals recorded during Everyday Life Activities in Naturalistic Environments

Physiological processes are affected and responsive to daily stimuli, and their daily monitoring can be key to understanding well-being and detecting diseases. Since most physiological data is acquired at rest, or in controlled scenarios, many decision algorithms based on physiological data may not perform as well during free-living conditions. ScientISST MOVE is a 3-wearable biosignal dataset recorded during natural everyday activities, including lifting a chair, greeting, gesticulating, walking and running. The wearable devices: a chestband, an armband, and the Empatica E4 wristband, recorded a double view of electrocardiography (ECG), electrodermal activity (EDA), and photoplethysmography (PPG). Additionally, they also recorded bicep electromyography (EMG), wrist temperature (TEMP) and chest and wrist actigraphy (ACC). 17 healthy volunteers participated in the data collection, resulting in a total of 10.5 sensor-simultaneous useful hours. ScientISST MOVE enables the study of the full body state in free-living environments, and the effect of daily activities on physiology. Moreover, the double view of physiological data herein provided could be used in signal quality comparison studies.

生理过程会受到日常刺激的影响并对其产生响应，对其开展日常监测或可为理解机体健康状态与疾病筛查提供关键依据。由于多数生理数据采集于静息状态或受控场景中，诸多基于生理数据的决策算法在自由生活环境下的表现往往未能达到预期。
ScientISST MOVE是一款面向自然日常活动场景采集的可穿戴生物信号数据集，涵盖抬举座椅、问候、手势动作、行走与跑步等活动类型。
本次研究使用的穿戴设备包括胸带、臂带以及Empatica E4腕带，同步采集了双视角的心电信号（electrocardiography, ECG）、皮肤电活动（electrodermal activity, EDA）以及光电容积描记信号（photoplethysmography, PPG）。此外，该数据集还采集了二头肌肌电信号（electromyography, EMG）、腕部温度（TEMP）以及胸腕部活动记录（actigraphy, ACC）。
本次数据采集共招募17名健康志愿者，最终获得总计10.5小时的传感器同步有效数据时长。
ScientISST MOVE可用于研究自由生活环境下的全身生理状态，以及日常活动对生理机能的影响。此外，本数据集提供的双视角生理数据，还可用于信号质量对比相关研究。