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.
作者
彭龑
吴兆强
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)
出处
《计算机科学》
CSCD
北大核心
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
关键词
QRS波检测
改进差分算法
阈值自适应算法
QRS detection
Improved difference algorithm
Adaptive threshold algorithm