• DocumentCode
    532980
  • Title

    Design of the vascular elasticity intelligent analysis system based on labVIEW

  • Author

    Zhou, Runjing ; Liu, Guiying ; Ding, Li

  • Author_Institution
    Coll. of Electron. Inf. Eng., Inner Mongolia Univ., Hohhot, China
  • Volume
    13
  • fYear
    2010
  • fDate
    22-24 Oct. 2010
  • Abstract
    Pulse wave of human body contains large amount of physiological and pathological information. Arterial elasticity letdown and arterial stiffness increase is significant marker of cardiovascular and cerebrovascular risk, so a vascular elasticity intelligent analysis system is designed based on LabVIEW. The main function of the system, such as data sampling, waveform pretreatment, feature extraction, vascular elasticity analysis, will be implemented in the designed LabVIEW virtual instrument. By the system, the vascular elasticity of human body can be detected and visually displayed by the virtual instrument, and it will have a great significance for early diagnosis of arteriosclerosis.
  • Keywords
    cardiovascular system; diseases; medical signal processing; neurophysiology; patient diagnosis; patient treatment; virtual instrumentation; LabVIEW; arterial elasticity; arterial stiffness; arteriosclerosis; cardiovascular risk; cerebrovascular risk; data sampling; diagnosis; feature extraction; human body; pathological information; physiological information; pulse signal; pulse wave; vascular elasticity intelligent analysis system; virtual instrument; waveform pretreatment; Arteriosclerosis; Elasticity; Feature extraction; Frequency domain analysis; Instruments; Modeling; Pattern recognition; elasticity; fuzzy classification; pulse; vascular;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Application and System Modeling (ICCASM), 2010 International Conference on
  • Conference_Location
    Taiyuan
  • Print_ISBN
    978-1-4244-7235-2
  • Electronic_ISBN
    978-1-4244-7237-6
  • Type

    conf

  • DOI
    10.1109/ICCASM.2010.5622633
  • Filename
    5622633