Time-series analysis of sleep–wake stage of rat EEG using time-dependent pattern entropy

Ryuji Ishizaki, Toshikazu Shinba, Go Mugishima, Hikaru Haraguchi and Masayoshi Inoue

Physica A: Statistical Mechanics and its Applications, 2008, vol. 387, issue 13, 3145-3154

Abstract: We performed electroencephalography (EEG) for six male Wistar rats to clarify temporal behaviors at different levels of consciousness. Levels were identified both by conventional sleep analysis methods and by our novel entropy method. In our method, time-dependent pattern entropy is introduced, by which EEG is reduced to binary symbolic dynamics and the pattern of symbols in a sliding temporal window is considered. A high correlation was obtained between level of consciousness as measured by the conventional method and mean entropy in our entropy method. Mean entropy was maximal while awake (stage W) and decreased as sleep deepened. These results suggest that time-dependent pattern entropy may offer a promising method for future sleep research.

Keywords: Time-dependent pattern entropy; EEG; Spearman’s rank correlation coefficient; Rat (search for similar items in EconPapers)
Date: 2008
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Citations: View citations in EconPapers (3)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:phsmap:v:387:y:2008:i:13:p:3145-3154

DOI: 10.1016/j.physa.2008.01.102

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