高技术通讯2016，Vol.26Issue(4)：367-373,7.DOI:10.3772/j.issn.1002-0470.2016.04.006
单导联脑电信号P300少试次提取算法研究
Study on extraction of P300 from monopolar lead EEG signal using several trials
摘要
Abstract
The extraction of the positive potential P 300 from electroencephalography ( EEG) signals was studied .To ver-come P300 extraction ’ s harsh requirements in electrode number and trial times , a new method for extraction of P300 from monopolar lead EEG signals using several trials was proposed .The method removes the noises in original signals by using wavelet transform and uses the Joint Approximate Diagonalization of Eigenmatrices (JADE), algo-rithm for blind source separation to decompose the observed signals , then, performs the optimal P300 extraction by using the analytic hierarchy process model built according to the pearson correlation coefficient ( PCC) and the col-umn standard deviation to avoid the possible sudden errors in P 300 extraction in several trials , and finally , uses the statistical properties of temporal energy entropy and the wavelet transform principle to compensate reconstructed P 300 signals in the time and frequency domain .As shown by the experimental results , only three trials of monopolar lead data need to be processed with the proposed method , and the P300 ingredient was extracted more effectively .关键词
脑电信号处理/P300/时域能量熵/小波变换/层次分析模型Key words
EEG processing/P300/temporal energy entropy/wavelet transform/analytic hierarchy process model引用本文复制引用
胡春海,信思旭,刘永红..单导联脑电信号P300少试次提取算法研究[J].高技术通讯,2016,26(4):367-373,7.基金项目
国家自然科学基金（61201110）资助项目。 （）
