A novel approach is proposed in order to efficiently separate mixed evoked potentials (EPs) presented simultaneously by different stimuli. This approach is developed as follows. We first apply a robust independent component analysis (ICA) approach to the observed sensor signals for the separation of the superimposed EP signals. Next, the desired EP components are estimated by matched-filtering the separated signals. Impulse response of such matched filter can be computed based on third-order cumulants of the filter input signal. Therefore, due to the tolerance of the third-order cumulants to both Gaussian and any symmetrical distributed non-Gaussian noise or interference, the filter impulse response will be matched with the desired signal alone. It is demonstrated by extensive computer simulations that applying the cumulant-based ICA and filtering improves dramatically the SNR of the final estimation of the EP components.
|Number of pages||4|
|Publication status||Published - 2001|
|Event||2001 IEEE Workshop on Statitical Signal Processing Proceedings - Singapore, Singapore|
Duration: 6 Aug 2001 → 8 Aug 2001
|Conference||2001 IEEE Workshop on Statitical Signal Processing Proceedings|
|Period||6/08/01 → 8/08/01|