• DocumentCode
    2360822
  • Title

    Complexity assessment of ECG RR interval

  • Author

    Berskiene, K. ; Vainoras, A. ; Daunoraviciene, A. ; Sedekerskiene, V. ; Korsakas, S. ; Jurkonis, V.

  • Author_Institution
    Kaunas Univ. of Technol., Kaunas
  • fYear
    2008
  • fDate
    14-17 Sept. 2008
  • Firstpage
    989
  • Lastpage
    991
  • Abstract
    Physical load is very important and necessary for human organism and for its systems functionality. During bicycle ergometry work we can evaluate the functionality of the human organism. We looked for the complexity measure, which could integrally and simple evaluate organism reaction to physical load. We used ECG RR interval allometric relation and RR interval information dimension. We indicated, that the slope of ECG RR interval allometric relation and information dimension could be used as the RR interval complexity measures, defining all organism reaction to physical load. The study showed that young women RR interval complexity is higher, it means that all organism adaptation to physical load is better, different organism systems better interact together. Significant differences between load and recovery periods detected different adaptation complexity levels.
  • Keywords
    bioelectric phenomena; electrocardiography; medical signal processing; ECG RR interval complexity assessment; RR interval allometric relation; RR interval information dimension; bicycle ergometry work; complexity measure; organism functionality; physical load organism adaptation; physical load organism reaction; Bicycles; Cardiology; Chaos; Data analysis; Electrocardiography; Humans; Medical diagnosis; Medical diagnostic imaging; Organisms; Testing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computers in Cardiology, 2008
  • Conference_Location
    Bologna
  • ISSN
    0276-6547
  • Print_ISBN
    978-1-4244-3706-1
  • Type

    conf

  • DOI
    10.1109/CIC.2008.4749210
  • Filename
    4749210