期刊文献+

Lyapunov exponents for synchronous 12-lead ECG signals 被引量:7

Lyapunov exponents for synchronous 12-lead ECG signals
原文传递
导出
摘要 The Lyapunov exponents of synchronous 12-lead ECG signals have been investigated for the first time using a multi-sensor (electrode) technique. The results show that the Lyapunov exponents computed from different locations on the body surface are not the same, but have a distribution characteristic for the ECG signals recorded from coronary artery disease (CAD) patients with sinus rhythms and for signals from healthy older people. The maximum Lyapunov exponent L1 of all signals is positive. While all the others are negative, so the ECG signal has chaotic characteristics. With the same leads, L1 of CAD patients is less than that of healthy people, so the CAD patients and healthy people can be classified by L1, L1 therefore has potential values in the diagnosis of heart disease. The Lyapunov exponents of synchronous 12-lead ECG signals have been investigated for the first time using a multi-sensor (electrode) technique. The results show that the Lyapunov exponents computed from different locations on the body surface are not the same, but have a distribution characteristic for the ECG signals recorded from coronary artery disease (CAD) patients with sinus rhythms and for signals from healthy older people. The maximum Lyapunov exponent L 1 of all signals is positive. While all the others are negative, so the ECG signal has chaotic characteristics. With the same leads, L 1 of CAD patients is less than that of healthy people, so the CAD patients and healthy people can be classified by L 1, L 1 therefore has potential values in the diagnosis of heart disease.
出处 《Chinese Science Bulletin》 SCIE EI CAS 2002年第21期1845-1848,共4页
基金 This work was supported by Tsinghua University (Grant No. 0009).
关键词 CAD MULTI-SENSOR SYNCHRONOUS 12-lead ECG LYAPUNOV EXPONENTS chaos. CAD multi-sensor synchronous 12-lead ECG Lyapunov exponents chaos
  • 相关文献

参考文献3

二级参考文献6

  • 1A. Babloyantz,A. Destexhe.Is the normal heart a periodic oscillator?[J].Biological Cybernetics.1988(3)
  • 2Goldberger Al.Fractal mechaniasms in the electrophysiology of the heart[].IEEE Engineering in Medicine and Biology Magazine.1992
  • 3Packard N H,Crutchfield J P,Farmer J D,et al.Geometry from a time series[].Physical Review Letters.1980
  • 4Eckman J P,Ruelle D.Fundamental limitations for estimating dimensions and Lyapunov exponents in dynamical systems[].Physica D Nonlinear Phenomena.1992
  • 5Grassberger,P.,Procaccia,I.Measuring the strangeness of strange attractor[].Physica D Nonlinear Phenomena.1983
  • 6Fojt,O,Holcik,J.Applying nonlinear dynamics to ECG signal processing[].IEEE EngMedBio.1998

共引文献12

同被引文献41

引证文献7

二级引证文献10

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部