设为首页 |  加入收藏
首页首页 期刊简介 消息通知 编委会 电子期刊 投稿须知 广告合作 联系我们
基于DSMD和局域特征变换的ECG特征波检测_________

Characteristic wave detection in ECG based on DSMD and local feature conversion

作者:               张超  邱天爽          
单位:           大连理工大学电子信息与电气工程学部(辽宁大连116024)    
关键词:           心电信号;数学形态学;导数;局域变换法;特征波提取      
分类号:
出版年·卷·期(页码):2013·32·1(22-27)
摘要:

目的 提高心电自动诊断中,心电(electrocardiogram,ECG)信号特征波定位的准确度。方法  在多尺度数学形态学导数(multi-scale morphological derivative,MMD)的基础上提出双层尺度数学形态学导数(double-layer scales morphological derivative,DSMD)的概念,并结合局域变换法对心电信号特征波进行检测。首先,在对心电信号进行大尺度DSMD变换基础上定位R、P、T波波峰位置,然后,在R、P、T波波峰位置确定的前提下,重新选择尺度,在ECG信号的小尺度DSMD变换上准确定位R波、P波和T波边界点,最后,在R波边界点确定的前提下运用局域变换法检测Q、S波,并最终确定QRS波边界点。结果 DSMD算法结合局域变换法对ECG特征波的提取效果良好。结论 本文提出的DSMD在尺度选择上更具灵活性,相比于MMD算法显著提高了检测精度,并且达到量化心电图通用标准(common standards for quantitative electrocardiography,CSE)。

Objective To improve the detection accuracy of characteristic waves in electrocardiogram (ECG).Methods Based on multi-scale morphological derivative (MMD),a new modified method,double-layer scales morphological derivative (DSMD) combined with local feature conversion,is presented to detect ECG characteristic wave in this paper.First,DSMD is applied to ECG signal to position R,P,T peaks.Then,on the premise that R,P,T peaks are positioned,the boundaries of R,P,T peaks are accurately positioned on DSMD in a smaller scales than those used in the first step.Finally,the local feature conversion is used to detect whether Q and S waves exist,and eventually determine the boundaries of QRS complex.Results The detection effect of ECG characteristic wave is good by using DSMD algorithm combined with local feature conversion. Conclusions Compared with MMD algorithm,the proposed algorithm is more flexible in the choice of scales,greatly declines the detection error and meets the common standards for quantitative electrocardiography(CSE).

参考文献:

[1]王大雄, 顾永跟,徐耕,等.T波检测和QT间期提取策略[J].中国生物医学工程学报,2011,30(3):352-356.
Wang Daxiong,Gu Yonggen,Xu Geng,et al.The strategy of T wave detection and QT interval extraction[J].Chinese Journal of Biomedical Engineering,2011,30(3):352-356.
[2]王春光,刘金江,孙即祥.基于稀疏分解和模糊理论的心电信号波形检测及识别[J].信号处理,2009,25(7):1057-1061.
Wang Chunguang,Liu Jinjiang,Su Jixiang.The detection and recognition of electrocardiogram’s waveform based on sparse decomposition and fuzzy theory[J].Signal Processing,2009,25(7):1057-1061.
[3]Arafat AK,Hasan.Automatic detection of ECG wave boundaries using empirical mode decomposition [C].IEEE ICASSP 2009 Conference,2009:461-464.
[4]王大雄, 蒋云良,徐耕,等.基于LS估计检测QRS波群宽度[J].中国生物医学工程学报,2010,29(3):321-325.
Wang Daxiong,Jiang Yunliang,Xu Geng,et al.The LS estimation-based detection of width for QRS complexes[J].Chinese Journal of Biomedical Engineering,2010,29(3):321-325.
[5]Sun Yan, Chan YK,Shankar Muthu Krishnan.Characteristic wave detection in ECG signal using morphological transform [J].BMC Cardiovascular Disorders,2005,5(1):28.
[6]高艳, 胡阳.基于数学形态学方法的心电图波形分离技术 [J].生物医学工程学杂志,2001,18(1):55-59.
Gao Yan,Hu Yang.An ECG waves separation technique based on mathematical morphology[J].Journal of Biomedical Engineering,2001,18(1):55-59.
[7]张玉霞.基于MATLAB与WFDB的PhysioBank数据库读取[J].北京生物医学工程,2011,30(3):318-320.
Zhang Yuxia.PhysioBank database reading based on MATLAB and WFDB[J].Beijing Biomedical Engineering,2011,30(3):318-320.
[8]Martínez JP,Almeida R,Olmos S,et al.A wavelet-based ECG delineator:evaluation on standard databases[J].IEEE Trans Biomed Eng,2004,51(4):570-581.

服务与反馈:
文章下载】【加入收藏
提示:您还未登录,请登录!点此登录
 
友情链接  
地址:北京安定门外安贞医院内北京生物医学工程编辑部
电话:010-64456508  传真:010-64456661
电子邮箱:llbl910219@126.com