Electrical dyssynchrony on noninvasive electrocardiographic mapping correlates with SAI QRST on surface ECG

Larisa G. Tereshchenko, Elyar Ghafoori, Muammar M. Kabir, Markus Kowalsky

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    8 Scopus citations

    Abstract

    Aim: The goal of this study was to compare associations between clinical and ECG predictors of cardiac resynchronization therapy (CRT) response with electrical dyssynchrony. Methods: Body-surface potentials were recorded using a 120-lead system in 4 patients (age 62 ± 12 y, left ventricular ejection fraction (L VEF) 29 ± 5 %; QRS duration 154 ± 19 ms) with post-myocardial infarction scar and left bundle branch block before CRT implantation. A patient-specific heart-torso model derived from MRi with 291 heart-surface nodes was developed. Electrical dyssynchrony index (EDl) was computed as the standard deviation of activation times on the epicardium while uncoupling index (Ul) was measured as the difference between the activation times. Results: QRS duration correlated with mean activation time (r = 0.977; P = 0.023), but did not correlate with EDl or VI. L VEF inversely correlated with activation time at the lowest 20th percentile (r = - 0.960; P = 0.040). Sum absolute QRST integral (SAl QRST), measured on orthogonal XYZ ECG, correlated with EDl (r = 0.955; P = 0.045), and characterized late-activated area of the left ventricle. Conclusion: SAl QRST is a measure of electrical dyssynchrony on ECG.

    Original languageEnglish (US)
    Title of host publicationComputing in Cardiology Conference 2015, CinC 2015
    EditorsAlan Murray
    PublisherIEEE Computer Society
    Pages69-72
    Number of pages4
    ISBN (Electronic)9781509006854
    DOIs
    StatePublished - Feb 16 2015
    Event42nd Computing in Cardiology Conference, CinC 2015 - Nice, France
    Duration: Sep 6 2015Sep 9 2015

    Publication series

    NameComputing in Cardiology
    Volume42
    ISSN (Print)2325-8861
    ISSN (Electronic)2325-887X

    Other

    Other42nd Computing in Cardiology Conference, CinC 2015
    CountryFrance
    CityNice
    Period9/6/159/9/15

    ASJC Scopus subject areas

    • Computer Science(all)
    • Cardiology and Cardiovascular Medicine

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  • Cite this

    Tereshchenko, L. G., Ghafoori, E., Kabir, M. M., & Kowalsky, M. (2015). Electrical dyssynchrony on noninvasive electrocardiographic mapping correlates with SAI QRST on surface ECG. In A. Murray (Ed.), Computing in Cardiology Conference 2015, CinC 2015 (pp. 69-72). [7408588] (Computing in Cardiology; Vol. 42). IEEE Computer Society. https://doi.org/10.1109/CIC.2015.7408588