• DocumentCode
    2038512
  • Title

    A new method for atrial electrical activity analysis from surface ECG signals using an energy ratio measure

  • Author

    Weissman, Noam ; Katz, A. ; Zigel, Y.

  • Author_Institution
    Dept. of Biomed. Eng., Ben Gurion Univ. of the Negev, Beer-Sheva, Israel
  • fYear
    2009
  • fDate
    13-16 Sept. 2009
  • Firstpage
    573
  • Lastpage
    576
  • Abstract
    A new method called separation using maximum energy ratio (SUMER) is introduced. Using 12 lead ECG signals, SUMER tries to separate the atrial activity from the ventricular activity. Relying on the assumption that the atrial activity can be reconstructed from a linear combination of 12 lead ECG signals, SUMER looks for the combination that will give us the best representation of the atrial activity. A cost function that is the energy ratio between different segments in the ECG signal is created. Forcing the linear combination to find the maximum possible cost function gives us the desired combination. The method presents better separation performances than the ICA method, and provides tools for the next phase of P wave detection.
  • Keywords
    bioelectric phenomena; electrocardiography; medical computing; medical signal processing; P wave detection; atrial electrical activity analysis; energy ratio measure; separation using maximum energy ratio; surface ECG signals; ventricular activity; Atrial fibrillation; Cardiology; Cost function; Electric variables measurement; Electrocardiography; Energy measurement; Heart; Independent component analysis; Signal analysis; Signal processing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computers in Cardiology, 2009
  • Conference_Location
    Park City, UT
  • ISSN
    0276-6547
  • Print_ISBN
    978-1-4244-7281-9
  • Electronic_ISBN
    0276-6547
  • Type

    conf

  • Filename
    5445343