Designed a computational model simulating electrical signal propagation in the left ventricle for untreated left bundle branch block (LBBB), using Python to analyze and visualize outcomes.
Optimized electrode placement for cardiac resynchronization therapy (CRT), identifying ideal left ventricular (LV) pacing sites for both normal and dilated heart models.
Developed a scalable framework to predict patient-specific LV electrode positions by tailoring the model to various heart sizes and conditions.
What I Did
Simulated physiological conditions with 72 electrical nodes across six rings, accurately modeling ventricular conduction for improved CRT efficacy.
Identified catheter-accessible sites for LV pacing electrodes via the left marginal vein, enhancing practical applicability in clinical settings.
-
cardiac resynchronization therapy (CRT) is employed in the form of pacemakers that apply electrical signals to the left ventricular muscle and stimulate it to pump in synchronization with the right ventricle. To maximize efficiency, the positioning of electrodes along the ventricular walls was optimized. A model of 72 electrical nodes in 6 rings were used to simulate the left ventricle and was programmed and plotted in Python. The propagation of the electrical signal in a case of untreated LBBB was simulated along the nodes to explore where electrodes should be placed for CRT in both normal-sized and dilated heart models.