Application of Multi-scale Entropy for Detecting Driving Fatigue in EEG

Driving fatigue is one of the main factors that caused traffic accidents.In order to reduce the harm caused by driving fatigue andexplore a new method for detecting driving fatigue,use the multi-scale entropy method that is a kind of nonlinear dynamics method to analyze the EEG of drivers who drove in different states.The results show that there is significantly difference between fatigue state and non-fatigue state,that is,the value in the driving fatigue state is higher than in the driving non-fatigue state.Explained that multi-scale entropy can be used to detect driver fatigue.It is available to be an indication of detecting driving fatigue.