融合粒子群与双边长短窗能量差的心电P波检测

doi:10.12068/j.issn.1005-3026.2022.04.005

东北大学学报（自然科学版） ›› 2022, Vol. 43 ›› Issue (4): 488-495.DOI: 10.12068/j.issn.1005-3026.2022.04.005

融合粒子群与双边长短窗能量差的心电P波检测

徐礼胜^1,2，苏宇剑¹，谭浚宜¹，方喜冬¹

(1. 东北大学医学与生物信息工程学院，辽宁沈阳110169; 2. 沈阳东软智能医疗科技研究院有限公司，辽宁沈阳110167)

修回日期:2021-06-11 接受日期:2021-06-11 发布日期:2022-05-18
通讯作者: 徐礼胜
作者简介:徐礼胜(1975-)，男，安徽安庆人，东北大学教授，博士生导师.
基金资助:
国家自然科学基金资助项目(61773110)；沈阳市科学技术计划项目(20-201-4-10)；中央高校基本科研业务费专项资金资助项目(N2119008)；沈阳东软智能医疗科技研究院有限公司会员课题基金资助项目(MCMP062002).

ECG P Wave Detection Combining Particle Swarms and Energy Difference Between Bilateral Long and Short Windows

XU Li-sheng^1,2， SU Yu-jian¹， TAN Jun-yi¹， FANG Xi-dong¹

1. College of Medicine and Biological Information Engineering， Northeastern University， Shenyang 110169， China; 2.Neusoft Research of Intelligent Healthcare Technology Co.， Ltd.， Shenyang 110167， China.

Revised:2021-06-11 Accepted:2021-06-11 Published:2022-05-18
Contact: XU Li-sheng
About author:-
Supported by:
-

摘要/Abstract

摘要： 心电P波蕴含了人体丰富的生理、病理信息，但P波幅值较小、形态多变，检测十分困难.本文提出一种双边长短窗能量差法来检测多形态P波边界，并使用粒子群算法优化其参数.从LUE数据库和QT数据库中分别选取4363个和1936个心电节拍，其中70%作为训练集，30%作为测试集，并与基于动态规划的参数混合高斯拟合法和无相位平稳小波变换法对比，正向与负向P波的结果误差明显小于上述两种方法，该算法可检测出双向P波，同时还具有一定抗噪能力.

关键词: 心电信号;P波检测;多形态心电P波;双边长短窗能量差法;粒子群

Abstract: The ECG P wave contains abundant physiological and pathological information of the human body， but the P wave amplitude is small and the shape is changeable， which is very difficult to detect. This paper proposes a bilateral long-short-window energy difference method to detect multi-modal P wave boundaries， and uses the particle swarm algorithm to optimize its parameters. 4363 and 1936 ECG beats are selected from the LUE database and QT database respectively， with 70% and 30% of them used as the training set and the test set， respectively. Compared with the parameter-mixed Gaussian fitting method based on dynamic programming and the phase-free stationary wavelet transform method， the error of the results of positive and negative P waves is significantly smaller than the above two methods， and the algorithm can detect bidirectional P waves， and it also has anti-noise ability.

Key words: ECG signal; P wave detection; polymorphic ECG P wave; bilateral long-short-window energy difference method; particle swarm

中图分类号:

TP391.4

徐礼胜，苏宇剑，谭浚宜，方喜冬. 融合粒子群与双边长短窗能量差的心电P波检测[J]. 东北大学学报（自然科学版）, 2022, 43(4): 488-495.

XU Li-sheng， SU Yu-jian， TAN Jun-yi， FANG Xi-dong. ECG P Wave Detection Combining Particle Swarms and Energy Difference Between Bilateral Long and Short Windows[J]. Journal of Northeastern University(Natural Science), 2022, 43(4): 488-495.

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融合粒子群与双边长短窗能量差的心电P波检测

ECG P Wave Detection Combining Particle Swarms and Energy Difference Between Bilateral Long and Short Windows

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