一种改进差分算法及其在QRS波检测中的应用研究  

Improved Difference Algorithm and It's Application in QRS Detection

作　　者：彭龑[1] 吴兆强[1] 张景扩 陈闰雪 PENG Yan ,WU Zhao -qiang ,ZHANG Jing- kuo, CHEN Run- xue(School of Computer Science,Sichuan University of Science ＆Engineering,Zigong,Sichuan G43000,Chin)

机构地区：[1]四川理工学院计算机学院,四川自贡643000

出　　处：《计算机科学》2018年第B06期588-590,共3页Computer Science

基　　金：企业信息化与物联网测控技术实验室四川省高校重点实验室(2014WZY021)资助

摘　　要：文章使用一种改进的差分阈值算法来实现心电图QRS波的检测。实验证明,该算法的检测误差率在1%以下,同时还具有计算量小、实时性强等特点。区别于传统自适应算法,该算法能够在干扰较强的情况下实现QRS波的精确定位。算法实现如下:首先,通过一阶差分与二阶差分相结合的方法确定QRS波群;其次,通过自适应阈值确定Q,R,S峰的位置;最后,基于以上参数,采用窗体法确定出P波和T波的位置。An improved difference threshold algorithm was used to realize the electrocardiogram QRS wave detection.Distinguishing from traditional adaptive algorithms,the algorithm can realize precise localization of QRS wave in the case of strong interference,the detection error rate is under 1%,and it has feature of a small amount of calculation and strong real-time.Through a lot of practice,the implementation of algorithm can be divided into three steps.Firstly,through the combination of first derivative and second derivative,the QRS complex is determined.Secondly,Q,R,S peak position are confirmed through the adaptive threshold.Thirdly,the position of P wave and T wave are determined by using the form method through above parameters.

关 键 词：QRS波检测 改进差分算法 阈值自适应算法 

分 类 号：TP301.6[自动化与计算机技术—计算机系统结构]