基于提升小波的心电信号P、T波检测快速算法

吉林大学学报(工学版) ›› 2013, Vol. 43 ›› Issue (增刊1): 177-182.

基于提升小波的心电信号P、T波检测快速算法

姚成^1,2, 司玉娟^1,3, 郎六琪^1,3, 程延伟², 李贺佳², 臧国华²

1. 吉林大学通信工程学院,长春 130022;
2. 长春工程技术学院,长春 130117;
3. 吉林大学珠海学院,广东珠海 519041

收稿日期:2012-06-05 发布日期:2013-06-01
通讯作者: 司玉娟(1963-),女,教授,博士生导师.研究方向:通信与信息系统.E-mail:yujuansi@163.com E-mail:yujuansi@163.com
作者简介:姚成(1976-),男,讲师,博士.研究方向:弱信号检测,通信与信息系统.E-mail:yaocheng2008@126.com
基金资助:
科技部"973"计划资助项目(2010CB327701─03);珠海市高新技术领域科技攻关及高新技术产业化项目(2010B020102021).

ECG P,T wave complex detection algorithm based on lifting wavelet

YAO Cheng^1,2, SI Yu-juan^1,3, LANG Liu-qi^1,3, CHENG Yan-wei², LI He-jia², ZANG Guo-hua²

1. College of Communication Engineerings, Jilin University, Changchun 130022, China;
2. The Institute of Changchun Engineering Technology, Changchun 130117, China;
3. Department of Electronic Information Zhuhai College of Jilin University, Zhuhai 519041, China;

Received:2012-06-05 Published:2013-06-01

摘要/Abstract

摘要：

为解决心电信号中P、T波信号复杂、微弱、识别难度大及识别算法执行效率低且易失效的问题,在分析提升小波算法原理的基础上,利用提升小波对信号进行时-频域分析执行速度快的特性,提出了将提升小波变换与差分运算相结合,构造利用提升小波对心电信号去噪,在重构相应层次的低频信号中利用差分法对P、T波进行识别的复合算法,并提出了一种适应心电信号个体差异和异常心电信号变化的跟随阈值函数。结果表明,提出算法比传统小波识别方法准确率高,且算法执行的速度至少提高一倍,更适合于硬件实现。

关键词: 提升小波, 心电信号, P, T波检测, 跟随阈值

Abstract:

In order to solve the problem that the ECG P,T-wave signal is complex,weak,difficult to identify as well as the problem of low efficiency and invalidity of the implementation of the identification algorithm,a combined algorithm was proposed using the fast speed characteristic of lifting wavelet analysis signal in time-domain and frequency domain based on the analysis to the principle of lifting wavelet algorithm.It combined the lifting wavelet transform with different OP,utilized the lifting wavelet to denoise,and indentified the P,T wave using composite algorithm in the reconstructed corresponding level low-frequency signal.A follower threshold function adapting to individual differences and abnormal ECG changes was proposed.Finally,the results of MIT-BIH ECG database experiments show that the proposed algorithm has high accuracy than traditional wavelet recognition method,at least doubling algorithm execution speed,and easier for hardware implementation.

Key words: lifting wavelets, electrocardiograph(ECG), P,T wave detection, following the threshold

中图分类号:

TN911.72

姚成, 司玉娟, 郎六琪, 程延伟, 李贺佳, 臧国华. 基于提升小波的心电信号P、T波检测快速算法[J]. 吉林大学学报(工学版), 2013, 43(增刊1): 177-182.

YAO Cheng, SI Yu-juan, LANG Liu-qi, CHENG Yan-wei, LI He-jia, ZANG Guo-hua. ECG P,T wave complex detection algorithm based on lifting wavelet[J]. 吉林大学学报(工学版), 2013, 43(增刊1): 177-182.

参考文献

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[3] 杨振野,李玲华,林家瑞.一种基于函数逼近原理的心电图P波识别的研究[J].生物医学工程学杂志,1998,15(2):120-122. Yang Zhen-ye,Li Ling-hua,Lin Jia-rui.Approach to recognition of ECG p waves based on approximating functions[J].Journal of Biomedical Engineering,1998,15(2):120-122.

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[5] 季虎,孙即祥,王春光.基于小波变换的自适应QRS-T对消P波检测算法[J].电子与信息学报,2007,29(8):1868-1871. Ji Hu,Sun Ji-xiang,Wang Chun-guang.An adaptive QRS-T cancellation based on wavelet transform for p-wave detection[J].Journal of Electronics & Information Technology,2007,29(8):1868-1871.

[6] Prasad V V,Siddaiah P,Prabhakara Rao B. A new wavelet based method for denoising of biological signals[J].IJCSNS International Journal of Computer Science and Network Security,2008,18(1):238-244.

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