A New QRS Detector Based on Empirical Mode Decomposition

摘要：

In this paper, a novel QRS detection algorithm based on empirical mode decomposition (EMD) is proposed. The EMD method decomposes the electrocardiogram (ECG) signal into a set of oscillatory components called intrinsic mode functions (IMFs).Calculate the energy ratio between the first IMF (IMF1) and the ECG signal. If the ratio is more than 5％, the detection layer is reconstructed with the first three IMFs (IMF1, IMF2, IMF3) which are soft-threshold denoised. Else the detection layer will be reconstructed with the second, third and fourth IMF (IMF2, IMF3, IMF4). A simple adaptive threshold is then adopted to detect the QRS complex. And several measures for avoiding false positive detection and false negative detection are taken. The performance of the algorithm has been tested using all 48 records from the MIT-BIH Arrhythmia Database and an average detection rate of 99.62％ has been achieved that shows good reliability of the proposed detector.

关键词： electrocardiogram QRS complex detection empirical mode decomposition intrinsic mode function

作者: WeiFang Zhu HeMing Zhao XiaoPing Chen

作者单位: School of Electronics and Information Engineering, Soochow University, Suzhou, China

会议类型: 国际会议

会议名称: 2010 IEEE 10th International Conference on Signal Processing(第十届信号处理国际会议 ICSP 2010)

会议地点: 北京

会议语种:英文

页码: 1757-1760

在线出版日期: 2010-08-24（万方平台首次上网日期，不代表论文的发表时间）