title: [Study on Grey model of electroencephalogram and features of driving fatigue].
abstract: Grey system theory was applied in analysis of Electroencephalogram (EEG) to extract features of driving fatigue in this study. Model GM(1,1) was built for EEG collected during simulative driving experiments. At the same time, the data of steering wheel movements and subjective fatigue level were analyzed as reference. The results of experiments reveal that the co-deviation of Model GM(1,1) parameter a and b, cov(a,b), coincides with the standard deviation of steering wheel movements. This indicates that Grey system theory is effective for EEG analysis and the parameters of GM(1,1) can well reflect the change of driving fatigue.
authors.affiliation: Department of Electronic Science & Technology, University of Science & Technology of China, Hefei 230027, China.
authors.forename: Mohan
authors.initials: M
authors.lastname: Li
authors.forename: Zhaohui
authors.initials: Z
authors.lastname: Jiang
authors.forename: Huanqing
authors.initials: H
authors.lastname: Feng
mesh_terms: D000328:Adult; D001334:Automobile Driving / Q000523:psychology*; D003198:Computer Simulation; D004569:Electroencephalography / Q000379:methods; D005221:Fatigue / Q000503:physiopathology*; D006801:Humans; D008297:Male; D008962:Models, Theoretical