基于双正交样条小波的QRS波检测  

Detection of QRS complexes based on biorthogonal spline wavelet

作　　者：纪震[1] 郑秀玉[1] 罗军 李蓁[1] 

机构地区：[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

出　　处：《深圳大学学报（理工版）》2008年第2期167-172,共6页Journal of Shenzhen University(Science and Engineering)

基　　金：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)

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%.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.

关 键 词：双正交样条小波 心电信号 QSR波 MIT—BIH 医学影像 

分 类 号：R318.04[医药卫生—生物医学工程] R540.41[医药卫生—基础医学]