Selection and optimization of peak features for event-related eeg signals classification / Asrul bin Adam

The classification of desired peaks in event-related electroencephalogram (EEG) signals becomes a challenging problem for brain signals researchers. The reasons are mainly because of the peak in the signals have been contaminated with various noises, the nature of non-stationary EEG signals, many pe...

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Auteur principal: Asrul, Adam
Format: Thèse
Publié: 2017
Sujets: