AI Driven Personalized Rehabilitation System Using Wearable Sensors for Real Time Physiotherapy Monitoring
Yagnik Dave, Durai Rajesh Natarajan, Hemang Jani, Ankur Khant, Payal Adwani, Jinali Mehta · 2025
Wearable artificial intelligence devices have a lot of promise for medical rehabilitation given the quick advancement of AI technology. The utilization of this sort of innovation in rehabilitation system for physiotherapy monitoring was researched utilizing progressed sensing advancements and information examination methods to furnish track and field athletes with more customized and logical rehabilitation programs. The examination plans to evaluate the impacts of constant following of wearable artificial intelligence devices on track and field athletes as well as investigate the conceivable utilization of these gadgets in the rehabilitation cycle. Ongoing checking of competitors' physiological states and athletic execution intends to give more precise and convenient data to rehabilitation suppliers. The study found that by real-time monitoring, wearable artificial intelligence technology greatly enhances the rehabilitation of track and field players. By employing real-time data monitoring, such as physiotherapy monitoring, physiological indicators, sports posture, and joint mobility, the rehabilitation team was able to identify potential problems and adjust the rehabilitation program more rapidly. According to the study's conclusions, track and field athletes can benefit from wearable AI method, which provides a more comprehensive and scientific approach to rehabilitation system for Physiotherapy monitoring. The rehabilitation team could better analyse the athletes' development, make targeted adjustments to the program, and enhance the therapy effect with the use of real-time tracking.