[1]纪震,郑秀玉,罗军,等.基于双正交样条小波的QRS波检测[J].深圳大学学报理工版,2008,25(2):167-172.
 JI Zhen,ZHENG Xiu-yu,LUO Jun,et al.Detection of QRS complexes based on biorthogonal spline wavelet[J].Journal of Shenzhen University Science and Engineering,2008,25(2):167-172.
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基于双正交样条小波的QRS波检测()
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《深圳大学学报理工版》[ISSN:1000-2618/CN:44-1401/N]

卷:
第25卷
期数:
2008年2期
页码:
167-172
栏目:
电子光学与信息工程
出版日期:
2008-04-30

文章信息/Info

Title:
Detection of QRS complexes based on biorthogonal spline wavelet
文章编号:
1000-2618(2008)02-0167-06
作者:
纪震1郑秀玉1罗军2李蓁1
1)深圳大学德州仪器DSPs实验室,深圳大学软件学院,深圳 518060;
2)深圳市职业病防治院,深圳 518021
Author(s):
JI Zhen1ZHENG Xiu-yu1LUO Jun2and LI Zhen1
1)Texas Instruments DSPs Laboratory,College of Softwave,Shenzhen University,Shenzhen 518060,P.R.China
2)Shenzhen hopital for occupational disease,Shenzhen 518060,P.R.China
关键词:
双正交样条小波心电信号QSR波MIT-BIH医学影像
Keywords:
biorthogonal spline waveletelectro-cardiograph signalQRS complexMIT-BIHmedicineimageangiocardio pathy diagnose
分类号:
R 318.04; R 540.41
文献标志码:
A
摘要:
把双正交样条小波应用于心电信号QRS波的检测.利用双正交样条小波等效滤波器,对心电信号按Mallat算法进行快速变换;从信号奇异点的李氏指数与模极大值关系的角度,分析心电信号奇异点(R峰值点)与其小波变换模极大值对的零交叉点的关系;在QRS波检测中运用调整阈值、不应期和补偿3个措施增强算法的抗干扰能力.实验结果表明,该算法对心电信号中QRS波群的特征提取和几种常见的心电干扰具有较强的鲁棒性.经MIT-BIH标准心律失常数据库验证,QRS波的正确检测率达99.905%.
Abstract:
Biorthogonal spline wavelet was used to detect the QRS complex of ECG signal.The ECG signal was decomposed with the equivalent filter of a biorthogonal spline wavelet by Mallat pyramid decomposition.The signal singularitys Lipschitz exponent was used to analyze the relationship between the signal singularity (peak R) and the zero-crossing point of the modulus maximum pair of its wavelet transform.Threshold adjustment,refractory period and expiating were applied to improve the anti-interference performance of the algorithm.Experimental results demonstrate that this method is robust to time varying characteristics of QRS complex and noise.The correct detection rate of QRS complex is 99.905% over the MIT-BIH Arrhythmia Database.

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相似文献/References:

[1]李合龙,王文波,吴洪武,等.基于Hilbert-Huang变换的心率变异信号分析与处理[J].深圳大学学报理工版,2010,27(3):334.
 LI He-long,WANG Wen-bo,WU Hong-wu,et al.HRV signal analysis and processing based on Hilbert-Huang transform[J].Journal of Shenzhen University Science and Engineering,2010,27(2):334.

备注/Memo

备注/Memo:
收稿日期:2007-09-11;修回日期:2008-02-25
基金项目:国家自然科学基金资助项目(60572100);国家自然科学基金委员会与英国皇家学会合作研究资助项目(60711130233);深圳市科技三项经费资助项目(200408)
作者简介:纪震(1973-),男(汉族),江苏省溧阳市人,深圳大学教授、博士.E-mail:jizhen@szu.edu.cn
更新日期/Last Update: 2008-05-10