• DocumentCode
    2383785
  • Title

    Efficacy of noncontact mapping in detecting epicardial activation

  • Author

    Shokrollahi, Elnaz ; Krishnan, Sridhar ; Massé, Stéphane ; Umapathy, Karthikyan ; Soucie, Luc ; Farid, Talha A. ; Nanthakumar, Kumaraswamy

  • Author_Institution
    Ryerson Univ., Toronto, ON, Canada
  • fYear
    2009
  • fDate
    3-6 Sept. 2009
  • Firstpage
    1901
  • Lastpage
    1904
  • Abstract
    The aim of this study is to determine if some of the characteristics of reconstructed unipolar electrograms from the noncontact mapping system can be used to detect epicardial electrical activation in a canine heart. This would help the electrophysiologist know where exactly the origin or the critical point in tissue is located. Following this, arrhythmia can be successfully treated by ablating that part of the tissue of heart. Virtual electrograms were recorded while pacing the right ventricle of an open-chest dog at multiple endocardial and epicardial sites using the commercially available noncontact mapping system (EnSite 3000). The endocardial and epicardial paced virtual electrograms from the juxtaposing sites allow for analyzing systematically the differences in their morphologies. Maximal dV/dt, area under the depolarization curve and latency extracted from unipolar electrograms demonstrated significant difference between epicardial and endocardial pacing sites with a p-value of less than 0.01 in all three cases. The above features were fed to a linear discriminant analysis based classifier and high classification accuracy was achieved. In conclusion, reliable criteria can be proposed to allow for discrimination of an endocardial versus epicardial origin of electrical activation.
  • Keywords
    electrocardiography; feature extraction; medical signal detection; patient treatment; radiofrequency heating; signal classification; EnSite 3000 system; canine heart; cardiac arrhythmia; depolarization curve; epicardial electrical activation detection; feature extraction; linear discriminant analysis-based classifier; noncontact mapping system; radiofrequency ablation; right ventricle; unipolar electrograms; virtual electrograms; Detection; Electrograms; Noncontact mapping; Ventricular arrhythmia; Animals; Arrhythmias, Cardiac; Body Surface Potential Mapping; Dogs; Electrocardiography; Endocardium; Epicardial Mapping; ROC Curve; User-Computer Interface;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Engineering in Medicine and Biology Society, 2009. EMBC 2009. Annual International Conference of the IEEE
  • Conference_Location
    Minneapolis, MN
  • ISSN
    1557-170X
  • Print_ISBN
    978-1-4244-3296-7
  • Electronic_ISBN
    1557-170X
  • Type

    conf

  • DOI
    10.1109/IEMBS.2009.5333029
  • Filename
    5333029