Autoregressive Model Order Property for Sleep EEG;

The study of the nonlinear dynamics analysis of sleep EEG is analyzed in this paper,we calculated the largest Lyapunov exponents and correlation dimension of EEG in the different sleep stages,and discussed their trends,then come to a conclusion that the sleep stages correspond to significantly different correlation dimensions.

The value of correlation dimension can reflect sleep stages after analyzing and simulating the sleep EEG,and then simulation forecast for NREM sleep stage was made which accorded with actual result.

Sleep monitoring at home in the elderly with obstructive sleep apnea syndrome induced by cognitive impairment;

Value of Sleep EEG Analysis in Children s Epilepsy;

Objectives:To study the relationship between sleep EEG and children′s epilepsy.

Objective To explore correlations between depressive symptoms and sleep EEG parameters.

The sleep monitor can let user know his sleep status in time.

This paper introduces the development of a household sleep monitor system,which can simultaneously monitor obstructive sleep apnea-hypopnea syndrome (OSAHS) and bruxism.