In modern healthcare technology, the cardiac pacemaker is utilized to maintain heart function with continuous monitoring and precision. Patients with serious heart conditions need an implantable cardiac pacemaker to survive.Hence, in this paper, a solar-powered cardiac pacemaker is designed toavoid the requirement of a battery and manage heart function. The solar power cardiac pacemaker consisting of Photo Voltaic (PV) system which is utilized to generate power from the sunlight energy. The PV may be affected because of environmental conditions. An effective Maximum Power Point Tracking (MPPT) controller is implemented in the implanted cardiac pacemaker to handle environmental circumstances. For maximum power point tracking (MPPT), the controller typically employs a Fractional Order Proportional Integral Derivative (FOPID) algorithm. The FOPID controller is given a boost in efficiency thanks to the use of the Chimp Optimization Algorithm (COA). The output voltage, output current, power, and convergence analysis are used to assess the effectiveness of the MATLAB/Simulink implementation of the suggested technique. Particle Swarm Optimization (PSO) and Grey Wolf Optimization (GWO) are contrasted with the proposed methodology.

battery-free Cardiac Pacemaker, Chimp Optimization Algorithm, DC-DC converter, MPPT Controller, photovoltaic cell, and battery.