基于模板匹配的心外膜电信号预处理与特征提取方法

A Method for Pretreatment and Character Extraction of Epicardial Signals Based on Template Matching

目的探讨适用于心外膜标测现场的实时心外膜信号预处理与特征提取方法,为房颤的电生理机制研究提供参考。方法首先分析心外膜信号的特点,其次采用基于模板匹配的方法从信号中抽取房波片段,最后从片段中识别信号的特征点。结果本文方法对心外膜信号中窦性样本的识别正确率为99.7%,房颤样本的正确率为97%。且1条10s长的数据的所需运算时间仅为1～2s。结论本文方法能够从心外膜信号中提取关键的心房除极波信息,并能满足在线分析的要求。

Objective To explore a method for real-time pretreatment and character extraction of epicardial signals and promote the research on the electrophysiological mechanism of atrial fibrillation （AF）.Methods Firstly,an analysis was made to get the properties of epicardial signals. Then,a method based on template matching was used to extract atrial activities from epicardial signals. At last,the feature points of atrial activities could be recognized.Results The correctness of recognizing feature points of sinus rhythm and AF were 99.7% and 97.0% respectively. Furthermore,only 12 s were cost to compute a 10-second data record with this method.Conclusion The proposed method can extract crucial information about atrium depolarization from epicardial signals and is adequate for online analysis.