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Single-Trial Estimation and Analysis of PVEP Based on Independent Component Analysis HONG Bo, YANG Fusheng, PAN Yingfu, TANG Qingyu, CHEN Kui, TIE Yanmei Abstract A novel method based on the extended infomax approach of independent component analysis (ICA) is proposed for the single-trial estimation of multi-channel pattern-reversal visual evoked potential (PVEP). The clinical applications illustrate the encouraging performance of the method. The number of trials needed is reduced to 3, but the estimated VEP complex is clearer than that obtained by conventional ensemble averaging with 50 trials. By analyzing the time course and spatial pattern of the independent components (ICs) of the multi-channel PVEP, one component is found to be reasonably related to the P100 peak. Keywords independent component analysis; pattern-reversal visual evoked potential (PVEP); single trial estimation; P100 peak

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