摘要
诱发电位(evoked potential,EP)的分析是神经疾病诊断和评价脑功能的重要手段之一,从而微弱电生理信号的提取受到生物信号处理研究人员的关注。本文在研究基于神经网络的盲源分离算法的基础上将其运用于模式翻转视觉诱发电位(PRVEP)波形提取,通过与常用的平均叠加算法得到的波形进行对比,得出基于神经网络的盲源分离算法能够有效地提取视觉诱发电位。
Evoked potential （evoked potential, EP） analysis is one of the important means bout the evaluation of neurological disease diagnosis and brain function, so the researchers focus on the faint electrical physiological signal extraction. The paper based on the study of blind source separation algorithm based on neural network and its application in extraction of pattern visual evoked potentials （PRVEP）, comparing with the common waveform of average algorithm obtained, the blind source separation algorithm based on neural network can effectively extract the visual evoked potential.
