摘要
提出一种基于差分阈值自适应的ECG波形检测算法.算法对ECG信号进行数字滤波预处理,利用自学习算法求出相应的初始阈值,采用双阈值自适应更新法实现对差分阈值的自动更新和对R波以及Q、S波的检测,通过对检测窗口宽度的自适应更新法实现对P波和T波的检测.算法检测精度高,适合实际应用.
An ECG waveform detection algorithm based on adaptive differential threshold is proposed.The algorithm preprocesses the ECG signal with digital filter,calculates the corresponding initial threshold value by using self-learning algorithm,realizes the automatic update of differential threshold value and the detection of R wave,Q wave and S wave by using the double threshold adaptive update method,and realizes the detection of P wave and T wave by using the adaptive update method of detection window width.The algorithm has high detection accuracy and is suitable for practical application.
作者
马建峰
徐晓雨
张雾琳
MA Jianfeng;XU Xiaoyu;ZHANG Wulin(School of physics and electronic engineering,Mudanjiang Normal University,Mudanjiang 157000,China)
出处
《牡丹江师范学院学报(自然科学版)》
2020年第3期10-14,共5页
Journal of Mudanjiang Normal University:Natural Sciences Edition
基金
黑龙江省自然科学基金项目(JJ2019LH2187)。