DocumentCode
380571
Title
Studies of the coefficient of variation of the magnitude of EEG signals
Author
Round, W.H. ; Sleigh, J.W.
Author_Institution
Dept. of Phys. & Electron. Eng., Waikato Univ., Hamilton, New Zealand
Volume
1
fYear
2001
fDate
2001
Firstpage
873
Abstract
An analysis of the variation in magnitude of EEG signals in various frequency bands of anesthetized patients and normal sleeping volunteers was carried out. The coefficient of variation (CoV), i.e. the standard deviation/mean, within 10 second epochs was found to be quite constant throughout the whole of the EEG recordings and was typically about 0.46. This was found to be the case for both the patients and the volunteers. Histograms of the magnitudes indicated that the magnitudes are distributed as f(x)=βxe(-αx2) functions. However a CoV of 0.46 is consistent with f(x)=βxe(-αx3) functions. The non-stationary nature of the EEG is such that it is likely that while over short periods the EEG magnitudes are distributed as f(x)=βxe(-αx3) functions, variations of α over time mean that in the long term the EEG magnitudes are distributed as f(x)=βxe(-αx2) functions.
Keywords
covariance analysis; electroencephalography; fast Fourier transforms; medical signal processing; sleep; spectral analysis; EEG signals magnitude; anesthetized patients; brain activity; coefficient of variation; covariance; fast Fourier transform; histograms; normal sleeping; spectral entropy; spectrograms; standard deviation/mean; Anesthesia; Anesthetic drugs; Electroencephalography; Entropy; Frequency; Histograms; Hospitals; Physics; Signal analysis; Spectrogram;
fLanguage
English
Publisher
ieee
Conference_Titel
Engineering in Medicine and Biology Society, 2001. Proceedings of the 23rd Annual International Conference of the IEEE
ISSN
1094-687X
Print_ISBN
0-7803-7211-5
Type
conf
DOI
10.1109/IEMBS.2001.1019081
Filename
1019081
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