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A model for dual channel segmentation of the EEG signal

✍ Scribed by Isak Gath; A. Michaeli; C. Feuerstein

Publisher
Springer-Verlag
Year
1991
Tongue
English
Weight
512 KB
Volume
64
Category
Article
ISSN
0340-1200

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✦ Synopsis

Dual channel segmentation of the EEG signal has been developed. The purpose was to divide the signals into segments, according to information common for the two channels. The criterion for segmentation was based on the changes in the cross-spectrum of the two signals. It has been shown theoretically, as well as by simulation studies and by analysis of real EEG data that this method is sensitive to changes common for both channels, whereas segmentation does not occur as a result of changes in each channel separately.

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