On-line Multichannel Adaptive Segmentation As A Basement For Long-term Eeg Processing
Vladimı́r Krajča, Svojmil Petránek, Alpo Olavi Värri, H. Frey · 2005
In this paper we present a new approach to adaptive segmentation of multichannel EEG signals. The method is capable of processing several EEG channels simultaneously and independently, and is sufficiently efficient to allow on-line segmentation of EEG recordings in a real time. The first results of application of the algorithm to simulated and real signals are shown and discussed.