基于极点分析修正的诱发电位多峰融合分解方法

Poles Correction Based Method for Separating Merged EP Latency Peaks

目的 分解由于总体累加平均而引起融合的诱发电位峰 ;方法 通过分析并修正与脑电诱发电位 (EP)信号相关的极点来进行分解 ;结果与结论 有效地提高了EP信号潜伏期的分辨率 ,达到了分解融合峰的目的 。

Objective Ensemble average is a basic and effective method in evoked potential(EP) signal application for eliminating random noises. However, it may cause the merge of multi-peaks of latency. Methods The method for separating the merged peaks in ensemble averaged EP signals by analyzing and correcting the poles of EPs was reported. Results and conclusions The data analysis shows that this method is useful in clinical application with its high resolution and improving the accuracy and the reliability in detecting the latency of evoked potentials.