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Single-Trial Estimation and Analysis of PVEP Based on Independent ComPonent Analysis

机译:基于独立分量分析的PVEP单次评估与分析

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摘要

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.
机译:提出了一种基于独立分量分析的扩展infomax方法(ICA)的新方法,用于多通道模式反转视觉诱发电位(PVEP)的单次试验估计。临床应用说明了该方法令人鼓舞的性能。所需的试验次数减少到3次,但估计的VEP复杂度比传统合奏平均获得的50个试验更清晰。通过分析多通道PVEP的独立分量(IC)的时程和空间模式,发现一个分量与P100峰值合理相关。

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