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本文采用边沿增强并结合匹配滤波和面积阈值等方法形成体表心电图起搏脉冲新的提取算法ＣＥＭＡ，经ＭＩＴ心电数据库中４例起搏心电图和仿真信号检验，算法的灵敏度和特异性分别为９９．８５％和９９．９３％。此方法可用于动态心电图记录器对起搏脉冲的实时提取
In this paper, edge enhancement and combined with matched filtering and area threshold method to form a new extraction algorithm of body surface electrocardiogram pacing pulse CEMA, the MIT ECG database 4 pacing ECG and simulation signal test, the sensitivity and specificity of the algorithm were 99.85% and 99.93%. This method can be used for real-time extraction of pacing pulses from a Holter recorder