电子科技大学学报2011，Vol.40Issue(1)：142-146,5.DOI:10.3969/j.issn.1001-0548.2011.01.027
经验模式分解在QRS波群和T波检测中的应用
Empirical Mode Decomposition for QRS Complexes and TWave Detection
摘要
Abstract
In order to detect the position of QRS and T wave in a non-preprocessed ECG signal, a combination method of the empirical mode decomposition (EMD) and morphological algorithm is introduced in this paper. Firstly, a novel boundary processing method is proposed to decrease the boundary distortion of EMD by means of signal extending. Secondly, the improved EMD is used to decompose the ECG signal into stationary intrinsic mode functions (IMFs) and residual components. Next, the two IMFs of low frequencies are reconstructed after de-noising with threshold method, and then the reconstructed signal is supplied to orient QRS to morphological method. T wave is detected by residual components. This method has been validated by the data from the MIT-BIH database, and the result shows that the detection rate of QRS is up to 99％. Moreover, this method has higher accuracy and better real-time performance compared with the traditional methods.关键词
经验模式分解/端点延拓/QRS波群/实时性/T波Key words
empirical mode decomposition/ end extending/ QRS complexes/ real-time/ T wave分类
信息技术与安全科学引用本文复制引用
郭兴明,汤丽平,陈丽珊,陈毛毛..经验模式分解在QRS波群和T波检测中的应用[J].电子科技大学学报,2011,40(1):142-146,5.基金项目
教育部春晖计划(Z2004-1-55006) （Z2004-1-55006）
中央高校基本科研业务费专项基金(CDJXS230010) （CDJXS230010）
