DocumentCode
1860993
Title
Two channel segmentation of EEG
Author
Gath, I. ; Michaeli, A.
Author_Institution
Dept. of Biomed. Eng., Technion, Haifa, Israel
fYear
1989
fDate
9-12 Nov 1989
Abstract
Dual-channel adaptive segmentation of the electroencephalogram (EEG) signal is proposed. The purpose is to divide the signals into quasi-stationary segments, on the basis of information common for the two channels. The segment boundary is determined by changes in the cross spectrum of the two signals. It has been shown theoretically, as well as by simulation studies, that this method is sensitive to changes common to both channels, whereas segmentation does not occur as a result of changes in each channel separately
Keywords
electroencephalography; signal processing; cross spectrum; dual-channel adaptive segmentation; electroencephalogram; quasi-stationary segments; segment boundary; Biomedical engineering; Biomedical measurements; Brain modeling; Decision making; Electroencephalography; Epilepsy; Feature extraction; Lesions; Rats; Signal processing;
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.1989.96408
Filename
96408
Link To Document