NDLI: Analysis of rat electroencephalogram under slow wave sleep using wavelet transform

Content Provider	IEEE Xplore Digital Library
Author	Zhouyan Feng Zheng Xu
Copyright Year	2002
Description	Author affiliation: Coll. of Life Sci., Zhejiang Univ., Hangzhou, China (Zhouyan Feng)
Abstract	The dynamic features of rat EEG collected under slow wave sleep were investigated in both time domain and frequency domain using wavelet transform based on multiresolution signal decomposition. EEGs of freely moving rats were recorded with implanted electrodes and were decomposed into four components of delta, theta, alpha and beta by wavelet transform. The power and power percentage of each component were calculated as functions of time. The results show that under slow wave sleep there existed as much as 26.2/spl plusmn/7.7% of EEG period during which the delta power percentage was less than 50%. The powers of other three components during small delta EEG were significantly larger than those during large delta EEG. Comparatively, the conventional FFT method could only show a delta power (percentage of 70.6/spl plusmn/6.4%) dominating spectrum. Therefore, the method of wavelet transform is useful in developing new quantitative time-frequency measures of EEG.
Starting Page	94
Ending Page	95
File Size	153402
Page Count	2
File Format	PDF
ISBN	0780376129
ISSN	1094687X
DOI	10.1109/IEMBS.2002.1134404
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2002-10-23
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Sleep Wavelet analysis Wavelet transforms Electroencephalography Signal resolution Frequency domain analysis Wavelet domain Rats Electrodes Time frequency analysis
Content Type	Text
Resource Type	Article

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