| Literature DB >> 17112632 |
V P Oikonomou1, A T Tzallas, D I Fotiadis.
Abstract
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.Mesh：
Year: 2006 PMID： 17112632 DOI： 10.1016/j.cmpb.2006.10.003
Source DB: PubMed Journal: Comput Methods Programs Biomed ISSN： 0169-2607 Impact factor: 5.428