• DocumentCode
    3549589
  • Title

    Comparison and analysis of the Lyapunov exponents of blood flow signal of healthy and stenotic artery

  • Author

    Huaning, Shan ; Zhiquan, Wang ; Jue, Wang ; Pingli, Wang

  • Author_Institution
    Dept. of Autom. Control, Nanjing Univ. of Sci. & Technol., China
  • Volume
    1
  • fYear
    2004
  • fDate
    6-9 Dec. 2004
  • Firstpage
    211
  • Abstract
    The Lyapunov exponent is an important index reflecting dynamic characteristics of nonlinear systems. In order to study the value of the largest Lyapunov exponent on diagnosing the arterial stenosis in various degrees, we acquired the blood flow signal on the healthy and stenotic internal carotid arterial in white rabbits by transcranial Doppler ultrasound and the collection system of Doppler ultrasound´s signal designed by ourselves, calculated the largest Lyapunov exponents respectively, analyzed and compared the dynamic state of the blood flow. The results show that the largest Lyapunov exponents of the blood flow signal in the white rabbits with the healthy internal carotid arterial are negative, and the blood flow is non-chaos. The largest Lyapunov exponents of the blood flow signal in the white rabbits with the stenotic internal carotid arterial are positive, and the blood flow is chaos. The larger the value of the largest Lyapunov exponent is, the higher the degree of stenosis is. Perhaps, it will provide a new approach to diagnose the arterial stenosis.
  • Keywords
    Lyapunov methods; biomedical ultrasonics; blood; haemodynamics; nonlinear control systems; Lyapunov exponents; arterial stenosis; blood flow signal; nonlinear systems; stenotic internal carotid arterial; transcranial Doppler ultrasound; Arteries; Blood flow; Chaos; Frequency; Hemodynamics; Rabbits; Signal analysis; Signal design; Time series analysis; Ultrasonic imaging;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Control, Automation, Robotics and Vision Conference, 2004. ICARCV 2004 8th
  • Print_ISBN
    0-7803-8653-1
  • Type

    conf

  • DOI
    10.1109/ICARCV.2004.1468824
  • Filename
    1468824