首页> 外文会议>International Symposium on Neural Networks pt.1; 20040819-20040821; Dalian; CN >Single-Trial Estimation of Multi-channel VEP Signals Using Independent Component Analysis
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Single-Trial Estimation of Multi-channel VEP Signals Using Independent Component Analysis

机译:使用独立分量分析的多通道VEP信号的单次估计

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摘要

Single-trial estimation of visual evoked potential (VEP) became a very interesting and challenge problem in biomedical signal processing at present. A method based on the independent component analysis (ICA) was proposed for single-trial detection of multi-channel VEP signals contaminated with background electroencephalograph (EEG). It achieved the satisfied results to show that the presented ICA method can be as an effective tool for single-trial VEP signal estimation in low SNR situation.
机译:视觉诱发电位(VEP)的单试验估计成为当前生物医学信号处理中一个非常有趣和具有挑战性的问题。提出了一种基于独立成分分析(ICA)的方法,用于单次检测受背景脑电图仪(EEG)污染的多通道VEP信号。取得了满意的结果,表明所提出的ICA方法可以作为低信噪比情况下单次VEP信号估计的有效工具。

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