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Study on Grey model of electroencephalogram and features of driving fatigue / 生物医学工程学杂志
Journal of Biomedical Engineering ; (6): 258-263, 2009.
Article in Chinese | WPRIM | ID: wpr-280220
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.
Subject(s)
Full text: Available Index: WPRIM (Western Pacific) Main subject: Psychology / Automobile Driving / Computer Simulation / Electroencephalography / Fatigue / Methods / Models, Theoretical Limits: Adult / Humans / Male Language: Chinese Journal: Journal of Biomedical Engineering Year: 2009 Type: Article

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Full text: Available Index: WPRIM (Western Pacific) Main subject: Psychology / Automobile Driving / Computer Simulation / Electroencephalography / Fatigue / Methods / Models, Theoretical Limits: Adult / Humans / Male Language: Chinese Journal: Journal of Biomedical Engineering Year: 2009 Type: Article