期刊
COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE
卷 85, 期 2, 页码 101-108出版社
ELSEVIER IRELAND LTD
DOI: 10.1016/j.cmpb.2006.10.003
关键词
EEG; epilepsy; spike enhancement; non-stationary signal; Kalman filter
In this work, we present a methodology for spike enhancement in electroencephalographic (EEG) recordings. Our approach takes advantage of the non-stationarity nature of the EEG signal using a time-varying autoregressive model. The time-varying coefficients of autoregressive model are estimated using the Kalman filter. The results show considerable improvement in signal-to-noise ratio and significant reduction of the number of false positives. (c) 2006 Elsevier Ireland Ltd. All rights reserved.
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