The study presents a new approach to non-invasively identifY the 3-dimensional MI substrate from the equivalent current densities (ECDs) that is inversely reconstructedfrom body surface potential maps (BSPMs). The MI substrate was characterized using a threshold determined from the ECD magnitude. A total of 114 sites of transmural infarctions, 91 sites of epicardial infarctions, and 36 sites of endocardial infarctions were simulated. The results show that: 1)With 205 BSPM electrodes and 10 f.1 V Gaussian white noise, the averaged accuracies for transmural MI are sensitivity=83.4%, specificity=82.2%, and the distance between the centers of gravity (DCG)=6.5mm. Epicardial infarctions (sensitivity=81.6%, specificity=75.8%, and DCG=7.5mm) obtained similar accuracies to endocardial infarctions (sensitivity=80.0%, specificity=77.0%, and DCG=10.4 mm). A reasonably good imaging performance was obtained under a higher noise level, fewer BSPM electrodes, and mild volume conductor modeling error, respectively. The results suggest that this method is capable of imaging the transmural and surface infarction.
|Original language||English (US)|
|Number of pages||4|
|Journal||Computing in Cardiology|
|State||Published - 2014|
|Event||41st Computing in Cardiology Conference, CinC 2014 - Cambridge, United States|
Duration: Sep 7 2014 → Sep 10 2014