• DocumentCode
    724502
  • Title

    Isolate two kinds of cardiac sinoatrial node field potentials by using wavelet analysis

  • Author

    Yu Feng ; Yanbin Zhang ; Hui Cao

  • Author_Institution
    Sch. of Electr. Eng., Xi´an Jiaotong Univ., Xi´an, China
  • fYear
    2015
  • fDate
    23-25 May 2015
  • Firstpage
    4944
  • Lastpage
    4947
  • Abstract
    Data got from cardiac electrophysiological experiment in this paper indicated that the sinoatrial node field potential was overlapped by two kinds of different signals. The two signals had totally different conductive characteristics. The traditional medical method could not separate these two signals. It brought great inconvenience to cardiac electrophysiological study. In order to solve this problem, we used wavelet transform to analyze sinoatrial node field potential in this paper. The results showed that wavelet analysis could separate the two kinds of field potentials effectively. The data processing used in this paper provided an effective method for medical researchers to process the experimental data of electrophysiological.
  • Keywords
    electrocardiography; medical signal processing; wavelet transforms; cardiac electrophysiological experiment; cardiac sinoatrial node field potentials; conductive characteristics; electrophysiological data processing; sinoatrial node field potential; wavelet analysis; wavelet transform; Electric potential; Electrodes; Time-domain analysis; Time-frequency analysis; Wavelet analysis; Wavelet transforms; Cardiac sinoatrial node field potential; Microelectrode arrays; Signal decomposition; Wavelet analysis;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Control and Decision Conference (CCDC), 2015 27th Chinese
  • Conference_Location
    Qingdao
  • Print_ISBN
    978-1-4799-7016-2
  • Type

    conf

  • DOI
    10.1109/CCDC.2015.7162809
  • Filename
    7162809