Application of an inverse-forward approach to derive the 12-lead ECG from body surface potential maps

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Abstract

An inverse-forward approach was assessed to compute a 12-lead ECG from body surface potential mapping data. Using simulated data (n=21), reconstructed 12-lead ECGs had accurate morphology (CC>0.88), amplitude (RMSE<8.6%) and mean electrical axis during both depolarization and repolarization (|Δθ| < 17 degrees). There was no significant deterioration in results until body surface mapping electrodes were removed within 6 cm of any 12-lead electrode (p < 0.0001). Reconstructed 12-lead ECGs of 6 CRT candidates captured the measured mean electrical axis during the QRS and T-wave (|Δθ| = 6.2 ± 4.7 and 14.2 ± 2.6 degrees respectively). Furthermore, additional clinically relevant features were reproduced allowing the correct identification of left bundle branch block and nonspecific intraventricular conduction disturbance, including: broad/notched R-waves, presence/absence of Q-wave, and direction of T-waves.

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APA

Bear, L. R., Huntjens, P., Potse, M., Duchateau, J., Ploux, S., & Dubois, R. (2017). Application of an inverse-forward approach to derive the 12-lead ECG from body surface potential maps. In Computing in Cardiology (Vol. 44, pp. 1–4). IEEE Computer Society. https://doi.org/10.22489/CinC.2017.093-231

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