东北大学学报（自然科学版）

东北大学学报(自然科学版) ›› 2010, Vol. 31 ›› Issue (12): 1685-1688.DOI: -

• 论著 • 上一篇    下一篇

基于心冲击信号的心率异常自动检测方法

蒋芳芳;王旭;于艳波;杨丹;   

  1. 东北大学信息科学与工程学院;
  • 收稿日期:2013-06-20 修回日期:2013-06-20 出版日期:2010-12-15 发布日期:2013-06-20
  • 通讯作者: -
  • 作者简介:-
  • 基金资助:
    国家自然科学基金资助项目(50477015)

Automatic detection based on ballistocardiogram signal for abnormal heart rate

Jiang, Fang-Fang (1); Wang, Xu (1); Yu, Yan-Bo (1); Yang, Dan (1)   

  1. (1) School of Information Science and Engineering, Northeastern University, Shenyang 110004, China
  • Received:2013-06-20 Revised:2013-06-20 Online:2010-12-15 Published:2013-06-20
  • Contact: Jiang, F.-F.
  • About author:-
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摘要： 心冲击信号是一种非直接接触式的记录心肌收缩引起身体相应周期性震动的描记方法,其规律与心率相关.基于此原理,设计并实现了一套坐姿心冲击信号采集系统,同步采集一路单通道心电信号作为基准.针对心冲击信号微弱且易受干扰的特点,应用Duffing混沌振子提取含噪信号的周期性特征,并根据该特征提出了自动检测心率异常的简易相态分类方法.实验结果表明,即使预处理滤波后的心冲击信号中仍含有噪声,也可以通过该方法自动检测出心率异常的受试者.

关键词: 心冲击信号, 心电信号, 心率异常, 混沌振子, 自动检测

Abstract: Ballistocardiogram is an instrument to record the periodical fluttering caused by myocardial contraction without direct contact. As a signal of heart rhythm, the records are inevitably in association with heart rate. For this reason, a ballistocardiogram signal acquiring system was designed and implemented for sitting subjects with the single-channel electrocardiogram signal acquired synchronously. The BCG signal is so weak and easy to be jammed that the chaotic Duffing oscillators should be used to extract the periodic characteristics. Thus, a simplified phase state classification method was proposed according to the characteristics for the automatic detection of abnormal heart rate. Test results showed that although the ballistocardiogram signal after the pre-filtering is still noisy, the method proposed can automatically detect the subjects whose heart rate is abnormal.

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