Development of a method and software tool for monitoring physical training and rehabilitation

Abstract

The increasing importance of personalized healthcare, especially in physical training and rehabilitation, necessitates advanced tools for monitoring and managing individual programs. This study presents the development of a novel method and software tool designed to monitor physical training and rehabilitation processes. The proposed system integrates wearable sensors and machine learning algorithms to provide real-time analysis of key performance indicators, such as movement quality, muscle engagement, and recovery metrics. The software enables personalized adjustments to training plans based on the user's condition and progress. The experimental results indicate a significant improvement in rehabilitation outcomes compared to traditional methods. The findings suggest that this system can enhance training efficiency and recovery speed, offering new opportunities for patient-centered healthcare.