应用高阶统计方法实现R波的检测  

Detection of ECG′s R-wave based on High Order Statistics

作　　者：唐艳[1] 汤井田[1] 

机构地区：[1]中南大学信息物理学院生物医学研究所,湖南长沙410083

出　　处：《中国医学物理学杂志》2005年第6期739-741,共3页Chinese Journal of Medical Physics

摘　　要：本文介绍了一种基于高阶统计量的方法,用来检测QRS中的R波。为了高精度地计算R波,我们采用高阶统计参数,例如斜度和峰度,并运用该方法对MIT/BIH ECG数据库中数据进行分析,实验结果证明,检测率超过99%。因为该算法简单,很容易运用到实时环境下,例如:临床心跳监护系统。In this paper, a new way of R-wave in QRS complex of electrocardiogram （ECG） based on high-order statistics is presented, In order to formulate an adaptive detector of R peak with high accuracy, the proposed method e mploys HOS-based parameters, such as skewness and kurtosis. Experimental results, applied the method to ECG data from the MIT/BIH ECG database, prove that it exhibits over 99% of detectability. Due to its simplicity it could be feasible in real-time and it could be applied in clinical heart rate monitoring.

关 键 词：QRS复合波 斜度 峰度 

分 类 号：R318[医药卫生—生物医学工程]