AI-Optimized Wireless Power Transfer Systems for Implantable Medical Devices: Enhancing Energy Efficiency and Precision in Parkinson’s Disease Neurostimulation
摘要
This research presents an optimized Wireless Power Transfer (WPT) system that can effectively cater to the high energy demands of implantable devices for treating Parkinson’s disease. With the help of adaptive impedance matching, dynamic frequency tuning, and AI optimization, this system can achieve energy transfer efficiencies greater than 85% for power delivery of up to 250 mW over a distance of 10 mm. The continuous function enables thermal safety in limiting tissue temperature elevations to less than or equal to 1.5 °C. Thorough validations were carried out using simulations in both COMSOL Multiphysics and ANSYS HFSS, thus resulting in an alignment tolerance of ± 3 mm for efficiency variations not exceeding 7%. Over 1200 h of in vitro testing has also shown good operational stability, while in vivo trials have also demonstrated biocompatibility as well as conformance to regulatory requirements. These results point to the ability of the system to fully integrate into clinical applications, thereby providing scalable, efficient, and trustworthy energy supplies for future implantable medical devices.