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.

[1]  A. Rechtschaffen.  A manual of Standardized Terminology , 1968 .

[2]  D R Rigney,et al.  Effects of head-down bed rest on complex heart rate variability: response to LBNP testing. , 1994, Journal of applied physiology.

[3]  L P Eberle,et al.  Preliminary evidence for the evolution in complexity of heart rate dynamics during autonomic maturation in neonatal swine. , 1997, Journal of the autonomic nervous system.

[4]  E. Wolpert.  A Manual of Standardized Terminology, Techniques and Scoring System for Sleep Stages of Human Subjects. , 1969 .

[5]  D. Ruelle,et al.  Ergodic theory of chaos and strange attractors , 1985 .

[6]  S M Pincus,et al.  Approximate entropy as a measure of system complexity. , 1991, Proceedings of the National Academy of Sciences of the United States of America.

[7]  J. Röschke,et al.  The dimensionality of human's electroencephalogram during sleep , 1991, Biological Cybernetics.

[8]  S. Pincus.  Approximate entropy (ApEn) as a complexity measure. , 1995, Chaos.

[9]  B H Jansen,et al.  Quantitative analysis of electroencephalograms: is there chaos in the future? , 1991, International journal of bio-medical computing.

[10]  J. Richman,et al.  Physiological time-series analysis using approximate entropy and sample entropy. , 2000, American journal of physiology. Heart and circulatory physiology.

[11]  T R Johnson,et al.  Complementary and non-coincident increases in heart rate variability and irregularity during fetal development. , 1997, Clinical science.

[12]  G S Dawes,et al.  Approximate Entropy, a Statistic of Regularity, Applied to Fetal Heart Rate Data Before and During Labor , 1992, Obstetrics and gynecology.

[13]  P. Grassberger,et al.  Estimation of the Kolmogorov entropy from a chaotic signal , 1983 .