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

Noam Weissman, Amos Katz, Yaniv Zigel

Research output: Contribution to conferencePaperpeer-review

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.

Original languageEnglish GB
Pages573-576
Number of pages4
StatePublished - 1 Dec 2009
Event36th Annual Conference of Computers in Cardiology, CinC 2009 - Park City, UT, United States
Duration: 13 Sep 200916 Sep 2009

Conference

Conference36th Annual Conference of Computers in Cardiology, CinC 2009
Country/TerritoryUnited States
CityPark City, UT
Period13/09/0916/09/09

ASJC Scopus subject areas

  • Computer Science Applications
  • Cardiology and Cardiovascular Medicine

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