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一种新型、快速心电P波检测算法

叶继伦, 孙纪光, 吴跃胜, 杜风玲, 张旭

叶继伦, 孙纪光, 吴跃胜, 杜风玲, 张旭. 一种新型、快速心电P波检测算法[J]. 中国医疗器械杂志, 2017, 41(1): 13-16. DOI: 10.3969/j.issn.1671-7104.2017.01.004
引用本文: 叶继伦, 孙纪光, 吴跃胜, 杜风玲, 张旭. 一种新型、快速心电P波检测算法[J]. 中国医疗器械杂志, 2017, 41(1): 13-16. DOI: 10.3969/j.issn.1671-7104.2017.01.004
Ye Jilun, Sun Jiguang, Wu Yuesheng, Du Fengling, Zhang Xu. A Novel and Fast P Wave Detection Algorithm in ECG Signals[J]. Chinese Journal of Medical Instrumentation, 2017, 41(1): 13-16. DOI: 10.3969/j.issn.1671-7104.2017.01.004
Citation: Ye Jilun, Sun Jiguang, Wu Yuesheng, Du Fengling, Zhang Xu. A Novel and Fast P Wave Detection Algorithm in ECG Signals[J]. Chinese Journal of Medical Instrumentation, 2017, 41(1): 13-16. DOI: 10.3969/j.issn.1671-7104.2017.01.004

一种新型、快速心电P波检测算法

详细信息
    作者简介:

    叶继伦,E-mail:yejilun@126.com

    通讯作者:

    吴跃胜,E-mail:yuesheng_wu@sina.com

  • 中图分类号: R318.08

A Novel and Fast P Wave Detection Algorithm in ECG Signals

  • 摘要: 该文提出了一种新的、简单、实时性好的多导联ECG P波检测算法。该方法先检测QRS-T波群的范围,然后消除ECG中QRS-T波群,最后在TQ段利用低通差分法(LPD)和切线法检测P波起点和终点,并取两种方法的平均作为最终结果。切线法是临床医生T波终点定位所使用的方法,该文首次将其应用到P波起点和终点定位。利用CSE数据库对算法进行测试,一致性分析发现本算法检测结果和CSE数据库注解具有较好的一致性,算法检测到的P波起点、终点相对于CSE程序注解的总体平均偏差分别为-2.01 ms、3.94 ms,偏差的标准差分别是4.96 ms、5.86 ms。
    Abstract: This paper presents a new, simple and fast algorithm of automated P wave detection in multi-lead ECG Signals. Range of QRS-T complex is detected firstly. Then QRS-T complex is eliminated. Finally, P wave's onset and offset are detected by using the average of low-pass difference method and tangent method. Tangent method is always used to locate the offset of T Wave but it will firstly be used to locate the P wave onset and offset in this paper. The proposed algorithm is tested by the annotated CSE database. Result shows that algorithm test result has a good consistency with BIS CSE annotation. Compared with the mean and standard deviation of P wave onset and offset, our algorithm and CSE annotation is -2.01 ms, 3.94 ms and 4.96 ms, 5.86 ms.
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出版历程
  • 收稿日期:  2016-07-31
  • 网络出版日期:  2024-02-19
  • 刊出日期:  2017-01-29

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