CAN WE MEASURE CONSCIOUSNESS WITH EEG COMPLEXITIES?
International Journal of Bifurcation and Chaos March 1, 2003 GU Fanji, Xin Meng, Enhua Shen et al.
Complexity measures of EEG signals, including approximate entropy and a new measure, decrease in order from rest with eyes open, eyes closed, light sleep, deep sleep, and during epileptic seizures. Averaged mutual information between EEG channels increases significantly during seizures but shows no significant difference among resting with eyes open or closed, light sleep, or deep sleep. The complexity measures appear promising for distinguishing consciousness levels, while mutual information does not.