基于局部方差的QRS波群和R峰检测算法  

An accurate QRS detection and R peak location algorithm based on local derivative

作　　者：赵恺 晏炜宏 李永福 ZHAO Kai;YAN Wei-hong;LI Yong-fu(Department of micro/nano electronics,Shanghai Jiao Tong University,Shanghai 200240,China)

机构地区：[1]上海交通大学微纳电子学系,上海200240

出　　处：《微电子学与计算机》2021年第2期1-6,共6页Microelectronics & Computer

基　　金：科技部重点研发计划(2019YFB2204500);上海市科委“科技创新行动计划”科学仪器领域项目(1914220370)。

摘　　要：在与心电图相关的前沿应用中,需要获得心电图中QRS波群和R峰的准确位置,但现有的QRS波群检测算法在干扰条件下准确度不足.针对这个问题,提出了一种能准确检测QRS波群和R峰的方法.该方法先使用一种基于局部方差的非线性变换对心电图中的QRS波群进行增强,然后基于已被检测到的QRS波群的信息来设置动态阈值找出新的QRS波群,最后,一种准确的R峰识别方法被用来找到R峰的位置.相对于现有的算法,该算法在多个开源心电数据库上达到了较高的性能,并对QT数据库达到99.98%的灵敏度,99.94%的真阳率,和0.08%的误检率.Advanced electrocardiogram analytic applications,such as heart rate variability analysis,generally require accurate detection of R peaks and QRS complexes,simultaneously,but the existing methods are not accurate enough under interference.To address the problem,we propose a method to detect the accurate positions of QRS complexes and R peaks.The proposed algorithm begins with a non-linear transformation to enhance QRS complexes in electrocardiogram signal,and dynamic thresholds are calculated based on the detected QRS complexes to detect the new QRS complexes,and finally,an accurate R-peak identifier function is used to locate R peaks.Compared with the existing algorithms,the proposed algorithm achieves a better performance on several open-source electrocardiogram databases.It achieves 99.98%sensitivity,99.94%positive predictivity and 0.08%detection error rate on QT Database.

关 键 词：心电图 QRS波群 R峰 准确度 开源数据库 

分 类 号：R540.4[医药卫生—心血管疾病] TN911.72[医药卫生—内科学]