Multiscale entropy analysis of EEG signal

doi:10.3778/j.issn.1002-8331.2009.10.005

Computer Engineering and Applications ›› 2009, Vol. 45 ›› Issue (10): 13-15.DOI: 10.3778/j.issn.1002-8331.2009.10.005

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Multiscale entropy analysis of EEG signal

GE Jia-yi¹,ZHOU Peng¹,ZHAO Xin¹,LIU Hai-ying^1,2,WANG Ming-shi¹

1.School of Precision Instrument and Opto-elctronics Engineering，Tianjin University，Tianjin 300072，China
2.Department of Radiology，University of Minnesota，USA 55455

Received:2008-12-11 Revised:2009-01-14 Online:2009-04-01 Published:2009-04-01
Contact: GE Jia-yi

脑电信号的多尺度熵分析

葛家怡¹,周鹏¹,赵欣¹,刘海婴^1,2,王明时¹

1.天津大学精密仪器与光电子工程学院生物医学工程系，天津 300072
2.明尼苏达大学放射系，美国 55455

通讯作者: 葛家怡

Abstract

Abstract: The algorithm steps of multiscale entropy are given.The multiscale entroy computation of white noise and 1/f noise which usually appeared in physiological signals are studied，it shows that 1/f noise has more complicated structure contrast with white noise.Compared the multiscale entropy of sleep EEG signal in different stages based on the multiscale entropy character of chaos logistic signal.It appears that the sleep EEG has complicated structure，the entropy value of awake stage is the most and of stage IV is the lowest.The complexity of sleep stage I，sleep stage II and awake stage is higher and the variation tendency almost the same.However，sleep stage III，sleep stage IV and rapid eye moment stage have the same variation tendency，its complexity remained relatively unchanged after the scale factor over 2.

Key words: electroencephalogram, nonstable, multiscale entropy, complexity

摘要： 给出了多尺度熵的算法步骤，对生理信号中两种常见噪声白噪声和1/f噪声的多尺度熵进行了研究，分析表明1/f噪声有比白噪声更为复杂的结构，探讨了混沌信号logistic映射的多尺度熵特征，在此基础上对不同睡眠时期脑电信号的多尺度熵进行了比较，结果显示脑电信号具有复杂结构，醒期熵值最高，睡眠Ⅳ期熵值最低；睡眠Ⅰ期、睡眠Ⅱ期和醒期复杂度较高，变化趋势接近；睡眠Ⅲ期、睡眠Ⅳ期和快速眼动期变化趋势基本一致，2尺度后复杂度基本保持不变。

关键词: 脑电, 非平稳, 多尺度熵, 复杂度

GE Jia-yi¹,ZHOU Peng¹,ZHAO Xin¹,LIU Hai-ying^1,2,WANG Ming-shi¹. Multiscale entropy analysis of EEG signal[J]. Computer Engineering and Applications, 2009, 45(10): 13-15.

葛家怡¹,周鹏¹,赵欣¹,刘海婴^1,2,王明时¹. 脑电信号的多尺度熵分析[J]. 计算机工程与应用, 2009, 45(10): 13-15.

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Multiscale entropy analysis of EEG signal

脑电信号的多尺度熵分析

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