• DocumentCode
    145172
  • Title

    Assessment of linear and non-linear coupling effect on cardiovascular subsystems in stroke

  • Author

    Ben-Yi Liau ; Liao, Ken Ying-Kai

  • Author_Institution
    Dept. of Biomed. Eng., Hungkuang Univ., Taichung, Taiwan
  • Volume
    1
  • fYear
    2014
  • fDate
    26-28 April 2014
  • Firstpage
    318
  • Lastpage
    321
  • Abstract
    Stroke is a deadly condition. It is a leading cause of death in the world. Even with today´s technologies, stroke detection and prevention is still a difficult and inaccurate task. In order to improve stroke detection, more knowledge about the physiological systems that stroke affects must be better understood. Much has been done in past studies already on how stroke affects each subsystem, such as blood pressure, cerebral blood flow, and heart rate. However, not much is known about the independence and relations between the cardiovascular subsystems and other physiological mechanisms. The purpose of this study is to approach this problem by using the nonlinear coupling analysis technique to study the independence of blood pressure, cerebral blood flow, and heart rate based on chaotic measures, in order to determine the relationships between these parameters. The linear coupling relation between heart rate and blood pressure is analyzed in time and frequency domain for evaluating baroreflex. 10 healthy controls and 10 stroke outpatients were enrolled in this study. The result indicates that stroke outpatients have a less independent chaoticness of the three subsystems. Cardiac-baroreceptor sensitivity (B RS) decreased significantly in stroke patients (p<;0.05).
  • Keywords
    blood flow measurement; blood pressure measurement; brain; cardiovascular system; chaos; frequency-domain analysis; linear systems; medical disorders; neurophysiology; nonlinear dynamical systems; time-domain analysis; baroreflex evaluation; blood pressure; cardiac-baroreceptor sensitivity; cardiovascular subsystem independence; cardiovascular subsystem relations; cardiovascular subsystems; cerebral blood flow; chaotic measures; chaoticness independence; frequency domain analysis; heart rate; linear coupling relation; nonlinear coupling analysis; nonlinear coupling effect assessment; physiological mechanisms; physiological systems; stroke detection; stroke effects; stroke prevention; time domain analysis; Baroreflex; Blood flow; Complexity theory; Couplings; Heart rate; Sensitivity; Stroke; baroreflex; chaotic; coupling;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information Science, Electronics and Electrical Engineering (ISEEE), 2014 International Conference on
  • Conference_Location
    Sapporo
  • Print_ISBN
    978-1-4799-3196-5
  • Type

    conf

  • DOI
    10.1109/InfoSEEE.2014.6948123
  • Filename
    6948123