• DocumentCode
    2906207
  • Title

    The Electrocardiogram Classification Research on Electrocardiogram RR Interval Variation

  • Author

    Zhou Qunyi

  • Author_Institution
    Sch. of Inf. & Electron. Eng., Zhejiang Univ. of Sci. & Technol., Hangzhou, China
  • Volume
    2
  • fYear
    2009
  • fDate
    12-14 Dec. 2009
  • Firstpage
    497
  • Lastpage
    500
  • Abstract
    QRS complex wave segment of electrocardiogram (ECG) beat reflects the electrical activity of the heart. The RR interval is always be used in the arrhythmia classification. In this paper, we use statistical histogram method to analysis RR interval features in depth. From all of RR interval statistical result, RR interval is a very important and basic ECG beat classification feature. However merely considering RR interval, there is no obvious classification boundary between premature ventricular contract (PVC) and normal beat, other features should be introduced.
  • Keywords
    electrocardiography; medical signal processing; statistical analysis; ECG beat classification feature; QRS complex wave segment; electrocardiogram RR interval variation; electrocardiogram classification; premature ventricular contract; statistical histogram method; Clinical diagnosis; Computational intelligence; Contracts; Electrocardiography; Fluctuations; Heart beat; Heart rate variability; Histograms; Rhythm; Spatial databases; Biosignal processing; RR interval; electrocardiogram classification;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computational Intelligence and Design, 2009. ISCID '09. Second International Symposium on
  • Conference_Location
    Changsha
  • Print_ISBN
    978-0-7695-3865-5
  • Type

    conf

  • DOI
    10.1109/ISCID.2009.270
  • Filename
    5368791