• DocumentCode
    3307324
  • Title

    The Algorithm of R Peak Detection in ECG Based on Empirical Mode Decomposition

  • Author

    Tang, Jing-tian ; Yang, Xiao-li ; Xu, Jun-chao ; Tang, Yan ; Zou, Qing ; Zhang, Xiao-kai

  • Author_Institution
    Inst. of Biomed. Eng., Central South Univ., Changsha
  • Volume
    5
  • fYear
    2008
  • fDate
    18-20 Oct. 2008
  • Firstpage
    624
  • Lastpage
    627
  • Abstract
    A novel automatic R peak detection algorithm that is based on EMD (empirical mode decomposition) and adaptive threshold technique is presented. The R peaks are then identified by computing the first threshold and applying a set of adaptive thresholds that are not limited to a strict range. The proposed algorithm was able to detect R peak with high sensitivity when compared to other algorithms used in Physionet ECG database. Additionally, the new algorithm can successfully detect R peak for a wide variety of ECG shapes.
  • Keywords
    electrocardiography; medical signal detection; medical signal processing; ECG; adaptive threshold; automatic R peak detection; empirical mode decomposition; Biomedical computing; Biomedical engineering; Cardiac disease; Cardiovascular diseases; Databases; Detection algorithms; Electrocardiography; Hospitals; Shape; Tumors;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Natural Computation, 2008. ICNC '08. Fourth International Conference on
  • Conference_Location
    Jinan
  • Print_ISBN
    978-0-7695-3304-9
  • Type

    conf

  • DOI
    10.1109/ICNC.2008.337
  • Filename
    4667511