Analysis of Kolmogorov Complezity in Spontaneous EEG Signal and Its Application to Assessment of Mental Fatigue
In this paper, an attempt was made to evaluate mental fatigue using Kolmogorov complexity analysis of spontaneous EEG. EEG signals registered from Fp1 and Fp2 under different mental fatigue states were recorded and analyzed using Kolmogorov complexity (KC) to investigate whether mental fatigue could be assessed using this measure. The result indicates that the value of KC is strongly correlative with the mental fatigue state and the values of KC decrease with mental fatigue increasing. It may be possible to differentiate different mental fatigue level according to the value of KC. This method may be useful in further research and efforts to evaluate mental fatigue level objectively. It may also provide a basis for the study of effects of mental fatigue on central neural system.
Kolmogorov complezity(KC) mental fatigu spontaneous EEG circadian rhythm
ZHANG Lian-yi ZHENG Chong-xun
School of Electrical Engineering, Shanghai Dianji University Shanghai, 200240, China Institute of Biomedical Engineering, Xian Jiaotong University Shanxi, 710049, China
国际会议
上海
英文
2192-2194
2008-05-16（万方平台首次上网日期，不代表论文的发表时间）