Fatigue EEG Feature Extraction Based On The Tasks With Different Difficulties

Physiological mental fatigue has now become an important issue in the city and a serious threat to people's health and life and property safety.In traffic driving,aerospace activities,man-machine system monitoring and other work,a sudden distraction,slow reaction,or lack of coordination caused by manipulative personnel's mental fatigue probably lead to extremely serious accidents.Therefore,the analysis and prevention of human brain fatigue is becoming more and more important.The main research tasks of this paper are as follows:1.A fatigue-inducing experiment scheme based on different difficulty levels was proposed.Different difficulty levels were taken into the fatigue-inducing experiment to study the effects of different difficulty levels on the production speed of fatigue and the degree of fatigue.2.This paper used a combination of subjective and objective analysis methods:the subjective data reflecting the subjective fatigue value had limitations and was subject to subjective awareness and external environment.In this paper,subjective data were compared and supplemented by objective behavioral data that reflected the response time and correct rate of reaction.The results showed that: behavioral data could reduce the error of subjective data.The combination of behavioral data and subjective data could achieve more effective results.3.EEG was susceptible to physiological and psychological state.The analysis of EEG signals effectively from different aspects was needed.In this paper,linear and nonlinear methods were used to analyze EEG.In the linear method,wavelet packet decomposition was used to study the change of the ratio parameter of energy entropy.In the non-linear method,sample entropy was used to study the trend of EEG complexity.The nonlinear method uses sample entropy to study the variation trend of EEG complexity.The results showed that the two methods could effectively distinguish the fatigue of subjects under different difficulty experiments.Combining the subjective data and behavioral data analysis results,it was found that increasing the experimental difficulty could combat the production of mental fatigue to a certain extent.The research results of this paper could provide relevant basis for the prevention of mental fatigue and countermeasures for mental fatigue.