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New blind estimation method of evoked potentials based on minimum dispersion criterion and fractional lower order statistics

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DOI: 10.4236/jbise.2008.12015    3,611 Downloads   7,118 Views
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ABSTRACT

Evoked potentials (EPs) have been widely used to quantify neurological system properties. Tra-ditional EP analysis methods are developed under the condition that the background noises in EP are Gaussian distributed. Alpha stable distribution, a generalization of Gaussian, is better for modeling impulsive noises than Gaussian distribution in biomedical signal proc-essing. Conventional blind separation and es-timation method of evoked potentials is based on second order statistics or high order Statis-tics. Conventional blind separation and estima-tion method of evoked potentials is based on second order statistics (SOS). In this paper, we propose a new algorithm based on minimum dispersion criterion and fractional lower order statistics. The simulation experiments show that the proposed new algorithm is more robust than the conventional algorithm.

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Zha, D. (2008) New blind estimation method of evoked potentials based on minimum dispersion criterion and fractional lower order statistics. Journal of Biomedical Science and Engineering, 1, 91-97. doi: 10.4236/jbise.2008.12015.

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