@inproceedings{d8944fa2408a4632a979e3345aad7ef1,
title = "Inverse electrocardiographic imaging to assess electrical dyssynchrony in cardiac resynchronization therapy patients",
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.",
author = "Fady Dawoud and David Spragg and Schuleri, {Karl H.} and Hor{\'a}{\v c}ek, {B. Milan} and Henry Halperin and Lardo, {Albert C.}",
year = "2012",
language = "English (US)",
isbn = "9781467320740",
series = "Computing in Cardiology",
pages = "993--996",
booktitle = "Computing in Cardiology 2012, CinC 2012",
note = "39th Computing in Cardiology Conference, CinC 2012 ; Conference date: 09-09-2012 Through 12-09-2012",
}