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.

生理过程受日常刺激的影响并作出反应，其对日常活动的监测对于理解健康状态及疾病检测至关重要。鉴于大多数生理数据是在休息状态或受控场景下采集，基于生理数据的多项决策算法在自由生活条件下可能表现不佳。ScientISST MOVE 是一款3件式生物信号数据集，记录了自然日常活动中的生理信号，包括抬椅、问候、手势、行走和跑步等。可穿戴设备包括胸带、臂带和Empatica E4腕带，记录了双视角心电图（ECG）、皮肤电活动（EDA）和光电容积描记图（PPG）。此外，它们还记录了肱二头肌肌电图（EMG）、腕温（TEMP）以及胸部和腕部加速度计（ACC）。17名健康志愿者参与了数据采集，共计10.5小时的传感器同步有效时间。ScientISST MOVE 有助于研究自由生活环境中全身状态，以及日常活动对生理的影响。此外，所提供的生理数据双视角可应用于信号质量比较研究。