Latency change estimation for evoked potentials via a new generalized cross correlation method

Abstract

Variations in Evoked Potential (EP) can be used to detect changes in the neurological system. Experiments have shown a good correlation between latency variations and injury-related changes in the neurological system. Reliable detection and accurate estimation of latency changes in EP therefore become very important in monitoring the status of the neurological system. In this paper, the Generalized Cross Correlation (GCC) method is used to estimate latency changes in EP. Experimental results show that the performance of the GCC method can be improve significantly by using the Linear Prediction Coefficients (LPC) to estimate the power spectrum instead of the traditionally used Fast Fourier Transform (FFT).