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

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.