• DocumentCode
    591375
  • Title

    Inverse electrocardiographic imaging to assess electrical dyssynchrony in cardiac resynchronization therapy patients

  • Author

    Dawoud, F. ; Spragg, D. ; Schuleri, K.H. ; Horacek, B. Milan ; Halperin, H. ; Lardo, A.C.

  • Author_Institution
    Sch. of Med., Johns Hopkins Univ., Baltimore, MD, USA
  • fYear
    2012
  • fDate
    9-12 Sept. 2012
  • Firstpage
    993
  • Lastpage
    996
  • Abstract
    Electrical dyssynchrony is postulated to be one of the main factors contributing to non-response of patients to cardiac resynchronization therapy (CRT). We applied inverse epicardial imaging computed from patient-specific geometry and body-surface potential recordings to assess global and regional electrical dyssynchrony. Patients were imaged pre- and post-device implantation, without and with pacing function (P-OFF and P-ON). The reconstructed maps of activation in the dyssynchronous pre-CRT rhythm agree with published contact mapping activation maps with earliest activation starting on the RV free wall and slowly spreading to the LV in a U-shaped pattern. The new ΔQRSi metric captures global pre-CRT dyssynchrony showing negative values (-0.32±0.10) with minimal variability beats (coefficient of variation 10±3.6%) while post-CRT pacing indicates positive values (0.18±0.11). The imaging method is well-suited to study electrical dyssynchrony and potentially guide CRT lead placement.
  • Keywords
    bioelectric potentials; biomedical electrodes; diseases; electrocardiography; image reconstruction; inverse problems; medical image processing; prosthetics; ΔQRSi metric; CRT lead placement; body-surface potential recording; cardiac resynchronization therapy; contact mapping activation maps; device implantation; dyssynchronous pre-CRT rhythm; electrical dyssynchrony; inverse electrocardiographic imaging; inverse epicardial imaging; patient-specific geometry; reconstructed maps; Electric potential; Heart; Image reconstruction; Imaging; Measurement; Medical treatment; Rhythm;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computing in Cardiology (CinC), 2012
  • Conference_Location
    Krakow
  • ISSN
    2325-8861
  • Print_ISBN
    978-1-4673-2076-4
  • Type

    conf

  • Filename
    6420563