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Showing papers in "Journal of International Society of Life Information Science in 2007"



Journal Article
TL;DR: gressive modeling to identify the EE6 (electroencephalograph) patterns including the flat wave (¢), 6, e, x, or, and B activities as well as such anifacts as the baseline drift and EMG (electromyograph) interference is proposed.
Abstract: gressive modeling to identify the EE6 (electroencephalograph) patterns including the flat wave (¢), 6, e, x, or, and B activities as well as such anifacts as the baseline drift and EMG (electromyograph) interference. With the merits of high computational efficiency and easy hardware realization, the method proposed is feasible for long-term EEG monitoring and online EEG processing. It also allows a quick over-

5 citations