Architecture, Models and Algorithms for Information Processing of a Mobile Training System for Musculoskeletal Rehabilitation

The article discusses the development of a mobile training system for musculoskeletal rehabilitation. Analysis of existing research shows that the use of mobile devices allows for monitoring and evaluating the quality of exercises performed during outpatient musculoskeletal rehabilitation. The main directions for implementing mobile training systems were identified, and the task of organizing musculoskeletal rehabilitation using mobile devices was set. To address this task, an architecture for a mobile training system was developed, and necessary software tools were analyzed. A model for processing information about exercises in musculoskeletal rehabilitation was developed, including formalizing the processes of exercise assessment and transforming raw data from the inertial navigation system of the mobile device to calculate speed and trajectory of movement. An information processing algorithm was presented, including a list of necessary operations to eliminate significant drawbacks of mobile sensors (high error rate, noise, and error accumulation). Experimental studies were conducted to confirm the effectiveness of the algorithm. The functioning algorithm of the mobile training system, including its main stages for organizing the musculoskeletal rehabilitation process, was implemented. The algorithms for processing information from the mobile training system were tested, demonstrating their applicability for monitoring exercises. The scientific novelty of the research lies in the development of architecture, models, and information processing algorithms in the mobile training system for musculoskeletal rehabilitation, taking into account the technical characteristics of mobile devices. The theoretical results obtained (architecture, model, and algorithms) were used for the software implementation of the mobile training system for musculoskeletal rehabilitation on the Android operating system. The practical value of the conducted research lies in organizing the process of outpatient musculoskeletal rehabilitation using mobile devices and developing data processing algorithms, which have ensured sufficient accuracy in measuring actions performed.