DocumentCode :
1702196
Title :
Detection of spatial abnormalities in the EEG by spherical harmonic expansion
Author :
Shaw, G.R. ; Koles, Z.J.
Author_Institution :
Dept. of Appl. Sci. in Med., Alberta Univ., Edmonton, Alta., Canada
fYear :
1989
Firstpage :
725
Abstract :
The application of a spherical harmonic expansion to the spatial aspect of the electroencephalogram (EEG) is explored. Using the method of singular-value decomposition to estimate the coefficients of a truncated expansion, a spatially smoothed EEG is reconstructed. This smoothed EEG is then used to extract a localized feature. The application of this method to the general problem of the detection of localized abnormalities and artifacts is discussed
Keywords :
electroencephalography; signal processing; EEG spatial abnormalities detection; artifacts; localised feature extraction; singular-value decomposition; spherical harmonic expansion; truncated expansion coefficients; Data mining; Electrodes; Electroencephalography; Equations; Feature extraction; Least squares approximation; Matrix decomposition; Neodymium; Scalp; Smoothing methods;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Engineering in Medicine and Biology Society, 1989. Images of the Twenty-First Century., Proceedings of the Annual International Conference of the IEEE Engineering in
Conference_Location :
Seattle, WA
Type :
conf
DOI :
10.1109/IEMBS.1989.95952
Filename :
95952
Link To Document :
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