中国组织工程研究

中国组织工程研究 ›› 2010, Vol. 14 ›› Issue (13): 2381-2385.doi: 10.3969/j.issn.1673-8225.2010.13.026

• 数字化骨科 digital orthopedics • 上一篇    下一篇

从体表电生理信号中提取希氏束信号的分析系统

周  萍，韩  阳，侯园园，李  宁   

  1. 首都医科大学生物医学工程学院，北京市 100069
  • 出版日期:2010-03-26 发布日期:2010-03-26
  • 通讯作者: 李 宁，副教授，首都医科大学生物医学工程学院，北京市 100069 eduhelp@163.com
  • 作者简介:周 萍★，女，1966年生，河北省承德市人，汉族，1993年吉林大学毕业，硕士，副教授，主要从事生物医学信号、图像处理研究。 eduhelp@163.com
  • 基金资助:

    首都医科大学基础临床基金（2007JL25）及北京市教委“人才强教计划”2005年北京市中青年骨干教师资助。

Analytical system of extracting HIS-Bundle signals from surface electrocardiogram

Zhou Ping, Han Yang, Hou Yuan-yuan, Li Ning   

  1. School of Biomedical Engineering, Capital Medical University, Beijing  100069, China
  • Online:2010-03-26 Published:2010-03-26
  • Contact: Li Ning, Associate professor, School of Biomedical Engineering, Capital Medical University, Beijing 100069, China eduhelp@163.com
  • About author:Zhou Ping★, Master, Associate professor, School of Biomedical Engineering, Capital Medical University, Beijing 100069, China eduhelp@163.com
  • Supported by:

    the Basic Clinical Foundation of Capital Medical University, No. 2007JL25*; the Talent Teaching Strength Project for Middle Aged and Youth Teachers of Education Committee of Beijing City in 2005*

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被引次数

2

摘要：

背景：传统的希氏束检测方法是对体表心电信号进行数百次叠加或者经食道检测以及心内导管检测得到，研制从体表心电信号提取希氏束信号不但有利于临床诊断，也有利于动物药物实验。
目的：从体表心电信号中提取希氏束信号，并开发体表希氏束信号分析系统。
方法：以家兔体表心电信号作为待分析信号，以其心内希氏束电图作为对照信号，采用随机共振、小波变换、叠加平均和耦合累加等分析方法，对体表心电信号进行分析。
结果与结论：小波变换后得到的信号，可以从体表心电信号中检测出希氏束信号，但并不是所有希氏束信号都能被识别，心内信号经过小波变换后，个别希氏束信号反而消失。随机共振方法从体表心电中检测出的希氏束信号识别率要高于小波分析方法，随机共振方法与小波分析相同之处是，心内信号经过处理后，个别希氏束信号反而消失。本文提出的耦合叠加算法能够从体表心电信号提取出希氏束信号，与经典叠加方法比较，其优点是希氏束信号明显，叠加次数远远少于经典叠加方法。提示实验采用的随机共振、小波变换、耦合累加等分析方法，能够有效抑制噪声、提取希氏束信号，开发研制的体表希氏束信号分析系统具有较强的实用价值。

关键词: 希氏束, 随机共振, 小波, 心电图, 数字化医学　

Abstract:

BACKGROUND: Traditional detection methods of HIS-Bundle are hundreds of nestification of surface electrocardiogram (ECG), via esophagus or via intracardiac catheter. Developing the analyzing system of extract HIS Bundle signals from surface ECG is not only beneficial to clinical diagnosis, but also beneficial to animal drug experiments.
OBJECTIVE: To detect the HIS-Bundle signals from surface ECG, and to develope the surface HIS Bundle signal analysis system.
METHODS: Surface ECG on rabbits served as the analyzed signal, and its intracardiac HIS-Bundle electrogram as the contrast signal. Stochastic resonance models, wavelet transform, the superposed average method and the coupling-adding method were used to analyze the surface ECG signals.
RESULTS AND CONCLUSION: The wavelet transform method can detect the HIS-Bundle signals from surface ECG, but not all HIS-Bundle signals can be recognized, such as the intracardiac signals can not detect some HIS-Bundle signals by the wavelet transform method. The recognition rate of detecting the HIS-Bundle signals from surface ECG by Stochastic resonance method is higher than the wavelet analysis method, but they have one thing in common, some HIS-Bundle signals disappear after dealing with intracardiac signals. This paper put forward the coupling-adding method to detect the HIS-Bundle signals from surface ECG, compared with traditional adding method, the HIS-Bundle signals is more obvious and the stacking fold is far less. These indicated that it is effectively to restrain the noise signals and extract HIS Bundle signals using Stochastic resonance, wavelet transformation, superposed average, and coupling-adding methods. This HIS Bundle signals analyzing system has strong practical value.

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