Sample Entropy Analysis of Sleep EEG under Different Stages
First, sample entropy characteristic analysis applied to a mixture system which stochastic signal and determinate signal included is discussed. The result shows that the sample entropy can reflect the complexity of the mixture system accurately. And then, the experiment data in different sleep stages were analyzed using sample entropy as a characteristic value of sleep EEG. It is clearly that the sample entropy of different sleep stages are difference, the deeper the sleep the smaller the sample entropy. Therefore, sample entropy can be a nonlinearity characteristic parameter in sleep automatic stage.
Ge jiayi Zhou peng Zhao xin Wang mingshi
College of Precision Instrument and Opto-elctronic Engineering. Tianjin University. China. 300072
国际会议
北京
英文
1520-1523
2007-05-23(万方平台首次上网日期,不代表论文的发表时间)