Implementation of Wireless Charging Unit for Pacemaker Based on Vital Data Analysis Using IOT

This research paper focuses on the implementation of a wireless charging unit for pacemakers based on vital data analysis using the Internet of Things (IoT). Pacemakers are essential medical devices that require regular charging to ensure their uninterrupted operation. However, conventional charging methods involve invasive procedures, which can be uncomfortable and pose risks to patients. By leveraging IoT and vital data analysis, this study aims to develop a non-invasive and efficient wireless charging system for pacemakers. Through an analysis of vital data and real-time monitoring, the system will intelligently charge the pacemaker based on the patient's needs. This paper discusses a proposed system that uses machine learning to improve the monitoring of patients with artificial pacemaker. The system collects data from implanted pacemakers, as well as other health metrics such as temperature, blood pressure, and glucose levels. This data would be stored in a database and analyzed using machine learning algorithm.