Tomas Zaremba | Searcharxiv

arXiv2025

In-vivo 6D heart motion analysis for emerging self-powered cardiac implants

Self-powered intracardiac implant devices show great promise for future clinical applications due to their extended operational lifespan and the potential to reduce the need for high-risk repeat surgeries. This study investigates the feasibility of harvesting energy from cardiac motion through in vivo testing of intracardiac devices. Comprehensive three-dimensional translational and rotational cardiac motions are captured in a porcine model using a miniaturized 9-degree-of-freedom motion sensor implanted at six strategic epicardial sites. Kinematic criteria are developed to evaluate the energy harvesting potential of each implant site based on the available kinetic energy, acceleration, and jerk factors. The recorded heart motion signals are analyzed and applied to a conceptual energy harvester proposed to identify the optimal implant site. The results reveal that the left ventricular apex emerges as a preferable site for energy harvesting, particularly at moderate heart rates. These findings offer valuable insights into optimizing self-powered intracardiac implants, reducing dependency on battery replacements, and enhancing long-term patient safety.

physics.med-ph↗

arXiv2025

Cine MRI-Validated Biventricular Electromechanical Digital Twin Framework for Predicting Regional Endocardial Motion

Personalized cardiovascular medicine increasingly relies on digital twin frameworks to translate clinical imaging into patient-specific functional insights. This work presents a biventricular electromechanical human heart model for predicting regional endocardial motion. The model integrates realistic 3D cardiac geometry, rule-based myocardial fiber orientation, reaction-diffusion electrophysiology, voltage-dependent active stress, closed-loop systemic and pulmonary hemodynamics, and two-way fluid-structure interaction with explicit 3D blood domains. Mechanical boundary conditions are also introduced to represent the influence of surrounding tissues on cardiac motion. The model was validated against Cine magnetic resonance imaging (MRI)-derived right ventricular motion, demonstrating consistent regional motion patterns between simulation and imaging results. The validated framework enables quantitative assessment of regional endocardial displacement and velocity, supporting the identification of mechanically favorable implantation regions for motion-driven intracardiac devices. The results further highlight that implantation-site selection should consider not only local motion amplitude, but also anatomical safety and electrophysiological suitability. Overall, the proposed Cine MRI-validated electromechanical digital twin framework provides a predictive platform for regional endocardial motion analysis and establishes a foundation for future patient-specific planning of self-powered intracardiac implants prior to clinical implementation.

physics.med-ph↗