Feature extraction with multiscale autoregression of multichannel time series for P300 speller BCI

Abstract

P300 is one of the most studied components of event related potentials which reflects the responses of brain to events in the external environment. In this paper, we present a new method that utilizes multiresolution autoregression of multichannel time series (MAMTS) for feature extraction of P300 wave. First, it adopts multiresolution autoregression on… (More)
DOI: 10.1109/ICASSP.2010.5495194

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