Approximate time-variable coherence analysis of multichannel signals (Q1612681)

This paper presents a new method for signal extraction from noisy multichannel epileptic seizure onset EEG signals. The method performs denoising by filtering the signal of each channel using a time-variable filter which is an estimate of the Wiener filter. The approximate Wiener filters are obtained using time-frequency coherence functions between all channel pairs, and a fix-point algorithm. Simulations are performed showing that the procedure improves upon methods based on the assumption of stationarity. The method was applied to two epileptic seizure onset signals.