Research on methods for mental fatigue detection in space station environments
10.16289/j.cnki.1002-0837.2024.01.003
- VernacularTitle:适用于空间站环境的脑力疲劳检测方法的研究
- Author:
Muhua XU
1
;
Qianxiang ZHOU
;
Yong CAO
;
Peng ZHANG
;
Wei HU
Author Information
1. 北京航空航天大学生物与医学工程学院,北京 100191
- Keywords:
mental fatigue;
space station;
EEG signal;
detection method
- From:Space Medicine & Medical Engineering
2024;35(1):15-19,37
- CountryChina
- Language:Chinese
-
Abstract:
Objective To develop a mental fatigue detection method for spaceflight environments in response to the mental fatigue problem that may arise during the on-orbit period of astronauts.Methods In the ground-based research,we used a 36-hour sleep deprivation experiment to induce mental fatigue state.Then the electroencephalogram(EEG)data and questionnaire scores were collected from 45 subjects.Finally,a series of EEG features relevant to mental fatigue were calculated and a mental fatigue detection method constructed with Random Forest Classifier to differentiate the mental fatigue level.Results The average accuracy over 85%was achieved in both ground-based and space-based experimental data and each evaluation index had consistent trend.Conclusion The mental fatigue detection method based on EEG signals is suited to the differences in environment and tasks,and shows precise and stable performance in both ground-based experiment and space-based one,which is feasible to be applied in spaceflight environments in the future.
