THE USE OF A MULTICHANNEL KALMAN FILTER ALGORITHM IN STRUCTURAL-ANALYSIS OF THE EPILEPTIC EEG

An extension of the Kalman filter algorithm to the multi-channel case is presented and its application as a segmenting procedure in the analysis of the epileptic EEG is discussed. An analytical example of structural analysis, using the segments extracted by the proposed filter, is presented for a particular set of 4-channel EEG recordings. This analysis is shown to be especially fruitful if the autoregressive coefficients.sbd.a byproduct of the filtering procedure.sbd.are used to estimate the information flow between the channels by the calculation of partial as well as directed coherences for the representative segments.