Noninvasive estimation of myocardial electrical activity traditionally used potential measurements on the human body surface, such as body surface potentials(BSPs, pl.) or electrocardiograms (ECGs, pl.). But because of non-unique mapping between myocardial electrophysiological activity and sparse body potential measurements, the performances of previous efforts have not been well accepted. In this book, a different aspect to understand myocardial electrophysiological activity is established for the first time: since the mechanical activity of the myocardium is mainly driven by myocardial electrophysiological activity, patient-specific myocardial kinematic measures should, indirectly, reflect the propagation of cardiac transmembrane potential(TMP). Coupling the physiological modeling of myocardial electro-mechanical behavior on the meshfree particle representation, my proposed inverse approach recovers myocardial electrophysiological activity from medical image sequences through regularization or Kalman filter with favor results.