Analysis of Equivalent Skin Model with Battery-Less Cardiac Pacemaker using Improved MPPT Controller

Abstract

Medical electronic implants can basically work on the well-being and personal satisfaction of individuals. These plugs are usually fueled by batteries, which as a rule have a limited lifespan and as a result need to be replaced occasionally using surgery. In the latter, subcutaneous sun-based cells, which can generate energy by retaining the light transmitted by the skin, can be developed as an economic force to control medical electronic insertions in the body. This paper is to develop an Improved Maximum Power Point Tracking (IMPPT) controller aimed at an equivalent skin model with battery-less cardiac pacemaker. In the proposed methodology, the equivalent skin model with battery-less cardiac pacemaker is designed and analyzed. The Photovoltaic cellis utilized to power the cardiac pacemaker for design a battery-less cardiac pacemaker. After that, the PV is connected with the equivalent circuit model. The PV may be affected due to environmental conditions which will be solved by the MPPT controller. Artificial Intelligence (AI) technique is developed to maintain the stability operation by avoiding environmental conditions. Here, the Arithmetic Optimization Algorithm (AOA) can be utilized towards manage the MPPT controller. The proposed battery-less cardiac pacemaker is designed and executed in MATLAB/Simulink, and its performance is evaluated in terms of maximum power, maximum voltage, maximum current, irradiance, input power of pacemaker, and output power of pacemaker.