Noninvasive estimation of myocardial electricalactivity traditionally used potential measurements onthe human body surface such as body surfacepotentials(BSPs pl.) or electrocardiograms (ECGspl.). But because of non-unique mapping betweenmyocardial electrophysiological activity and sparsebody potential measurements the performances ofprevious efforts have not been well accepted. In thisbook a different aspect to understand myocardialelectrophysiological activity is established for thefirst time: since the mechanical activity of themyocardium is mainly driven by myocardialelectrophysiological activity patient-specificmyocardial kinematic measures should indirectlyreflect the propagation of cardiac transmembranepotential(TMP). Coupling the physiological modelingof myocardial electro-mechanical behavior on themeshfree particle representation my proposed inverseapproach recovers myocardial electrophysiologicalactivity from medical image sequences throughregularization or Kalman filter with favor results.
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