• DocumentCode
    3747118
  • Title

    In-vivo evaluation of reduced-lead-systems in noninvasive reconstruction and localization of cardiac electrical activity

  • Author

    Matthijs JM Cluitmans;Jo?l Karel;Pietro Bonizzi;Monique MJ de Jong;Paul GA Volders;Ralf LM Peeters;Ronald L Westra

  • Author_Institution
    CARIM School for Cardiovascular Diseases, Maastricht, The Netherlands
  • fYear
    2015
  • Firstpage
    221
  • Lastpage
    224
  • Abstract
    Noninvasive imaging of electrical activity of the heart has increasingly gained attention last decades. Heart-surface potentials are reconstructed from a torso-heart geometry and body-surface potentials recorded from tens to hundreds of body-surface electrodes. However, it remains an open question how many electrodes are needed to accurately reconstruct heart-surface potentials. In a canine model, we reconstructed epicardial electrograms and activation locations, investigating the use of a full-lead system, consisting of 169 well connected body-surface electrodes, and reduced-lead systems: using half or a third of the electrodes, or a minimalistic set of the default 12-lead ECG. Correlation coefficients indicate that the quality of the reconstructed electrograms remains stable to a third of the electrodes, and decreases with fewer electrodes. Similarly, the mismatch between the detected origin of a beat and known pacing location decreases when fewer body-surface electrodes are used. However, when only 9 or 10 electrodes are available for pacing localization, the median mismatch is 30mm, only marginally higher than when half of the electrodes are used, although with a significant error spread up to 65mm. These results indicate that for specific purposes (such as detecting the origin of an extrasystolic beat), a lower number of body-surface electrodes can provide noninvasive electrocardiographic imaging results that might still be useful for a clinical purpose.
  • Keywords
    "Electrodes","Electric potential","Image reconstruction","Heart","Electrocardiography","Geometry"
  • Publisher
    ieee
  • Conference_Titel
    Computing in Cardiology Conference (CinC), 2015
  • ISSN
    2325-8861
  • Print_ISBN
    978-1-5090-0685-4
  • Electronic_ISBN
    2325-887X
  • Type

    conf

  • DOI
    10.1109/CIC.2015.7408626
  • Filename
    7408626