Data-driven estimation of cardiac electrical diffusivity from 12-lead ECG signals
Data-driven estimation of electrical diffusivity from ECG using polynomial regression. Fast, patient-specific forward model of cardiac electrophysiology and ECG. Analysis of intrinsic uncertainty of the inverse ECG problem. QRS duration and electrical axis, available from 12-lead ECG, are used as features. Quantitative validation on synthetic database with 9500 datasets and 19 DCM patients.
cardiac electrophysiology statistical learning lattice-boltzmann method uncertainty quantification electrocardiogram