A Portable System of Mental Fatigue Detection and Mitigation based on Physiological Signals

• Published in: 2022 IEEE International Conference on Bioinformatics and Biomedicine (BIBM) pp. 2957 - 2963
• Main Authors: Wu, Chao, Tian, Fuze, Shi, Qiuxia, Zhao, Qinglin, Hu, Bin
• Format: Conference Proceeding
• Language: English
• Published: IEEE 06.12.2022
• Subjects: audio mitigation; BCG; Buildings; EEG; Electroencephalography; Fatigue; Hospitals; mental fatigue; Multiple signal classification; Physiology; portable; Psychology
• DOI: 10.1109/BIBM55620.2022.9995373

Mental fatigue of the brain will cause the weakening of the psychological and physiological functions of the human body, which increases the risk of mistakes and accidents. This paper designs a mental fatigue detection and mitigation system based on human physiological signals and classical music. Through the fatigue assessment and mitigation experiment on 20 healthy subjects, it is verified that the system is able to judge the mental fatigue state of the subjects and play classical music to mitigate fatigue via acquiring and analyzing (alpha+theta)/beta of electroencephalogram (EEG) and heart rate variability (HRV) of ballistocardiogram (BCG). The designed system realizes signal acquisition and fatigue analysis only through using portable device, this makes it have certain application value in office building, hospital, aircraft driving and other scenes.