The Effect of the Width of Nonstationary Spikes on their Detection using the Kalman Filter

Kalman Filter (KF) has been used to the detection of nonstationary Epileptic Spikes (ES). For this purpose, it is considered that the nonstationary ElectroEncephaloGram (EEG) can be modeled by Time-Varying AutoRegressive model (TVAR). KF estimates the AutoRegressive (AR) coefficients by which we calculate another signal. The Epileptic spikes in this estimated signal are accentuated and the background activity is attenuated. The detection step is based on thresholding to localize the ES. Knowledge of this detection method is insufficient to apply it, it is necessary to know the conditions under which it gives results that can be trusted. In this paper, we are interested in the study of spikes width effect on the result of detection. For this purpose, we used a synthetic EEG containing triangular spikes which constitute nonstationarities.