窦房结电图中P前波自动识别技术的研究

摘要

对基于小波变换的P前波的自动识别技术进行了探索性研究,介绍了窦房结电图的基线漂移抑制技术、A波定位技术及基于此的P前波自动识别技术.对实际采集的人体窦房结电图信号的P前波识别的结果表明,基于该技术的识别方法可行,识别正确率为76％.%The automatic recognizing technique of pre-P wave based on wavelet transform is studied in the paper. The baseline drift restraining technique of SNE, positioning technique of A wave and automatic recognizing technique of pre-P wave based on above techniques is introduced. The automatic recognizing results for human body SNE showed that the used method was feasible. The accurate rate is 76%.