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.

The dynamic features of rat EEGs collected during slow wave sleep (SWS) and transition sleep (TS) were investigated in both time and frequency domains using wavelet transform based on multi resolution signal decomposition.

Objective:To evaluate the efficacy of treatment of zaohuadan liquor(ZHDL) on nocturnal slow wave sleep with insomnia.

Two cytokines, interleukin-1beta ( IL-1β) and tumour necrosis factor-alpha ( TNF-α), which can improve immune function, play an important role in the regulation of sleep, mainly promoted the SWS.