论文部分内容阅读
导言从EEG中提取大脑皮层诱发电位(EPS)是当今一种很热门的课题。已有若干提取技术,如样本平均、维纳滤波器和ARMA滤波器。由于背景电位的信噪比很低(通常小于-10dB),所以提取的最后两个步骤一般是平均大量的对刺激时间锁定的脑响应。若严格地假设信号在每次刺激后都一样,并且噪声是随机的、稳定的,则用这种样本平均的方法可以从噪声的刺激响应中提取有用信号。但神经突触疲劳或病人条
Introduction The extraction of cerebral cortex evoked potential (EPS) from EEG is a hot topic today. There are several extraction techniques, such as sample averaging, Wiener filters, and ARMA filters. Since the background potential has a low signal-to-noise ratio (typically less than -10 dB), the last two steps of extraction are typically a large average brain response to stimulus-time lockout. If the signal is strictly assumed to be the same after each stimulus, and the noise is random and stable, this sample-averaging method can extract the useful signal from the noise stimulus response. But neurosynchronisation fatigue or the patient’s bar