ScientISST MOVE: Annotated Wearable Multimodal Biosignals recorded during Everyday Life Activities in Naturalistic Environments
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https://physionet.org/content/scientisst-move-biosignals/1.0.0/
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资源简介:
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.
提供机构:
PhysioNet
创建时间:
2023-11-09



