• DocumentCode
    1652012
  • Title

    Approximate entropy based pulse variability analysis

  • Author

    Kuanquan Wang ; Lisheng Xu ; Zhenguo Li ; Zhang, D. ; Naimin Li ; Shuying Wang

  • Author_Institution
    Dept. of Comput. Sci. & Eng., Harbin Inst. of Technol., China
  • fYear
    2003
  • Firstpage
    236
  • Lastpage
    241
  • Abstract
    The dynamical analysis of pulse variability gives new insight into researches of cardiovascular system´s dynamics. Firstly, long-term pulse variability analysis for the researches on cardiovascular system was proposed. Secondly, approximate entropy was applied to analyze three groups of long-term pulse waveform variabilities and we found that the pulses´ approximate entropies of patients with cardiovascular disease preferred to smaller value and less irregularity. What more, the pulse variability of the patient with pacemaker newly implanted was also studied. Finally, the pulse variability´s clinical value for cardiovascular system was concluded.
  • Keywords
    cardiovascular system; diseases; entropy; medical signal processing; approximate entropy based pulse variability analysis; cardiovascular disease; cardiovascular system´s dynamics; dynamical analysis; long-term pulse variability analysis; long-term pulse waveform variabilities; pacemaker; pulse variability; pulses´ approximate entropies; Cardiac disease; Cardiology; Cardiovascular diseases; Cardiovascular system; Computer science; Entropy; Heart rate; Hospitals; Pacemakers; Patient monitoring;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer-Based Medical Systems, 2003. Proceedings. 16th IEEE Symposium
  • Conference_Location
    New York, NY, USA
  • ISSN
    1063-71258
  • Print_ISBN
    0-7695-1901-6
  • Type

    conf

  • DOI
    10.1109/CBMS.2003.1212795
  • Filename
    1212795