Development of methodology and software for quantitative assessment of body asymmetry and static coordination of the patient based on video fixation

Modern methods of human posture and movement assessment used in medical practice for diagnosing and monitoring the condition of patients with musculoskeletal disorders are discussed in the article. The advantages and disadvantages of traditional methods, such as goniometry and body topography, as well as modern technologies, including 3D video analysis systems, are described. The authors propose a new approach based on the use of digital video cameras to create standardized video protocols for patient screening. This methodology provides accessibil-ity, objectivity, and the possibility of application in the routine practice of doctors from various specialties, such as neurology, orthopedics, rehabilitation, and sports medicine. The aim of the research is to develop a technology for assessing static coordination and detecting body asym-metry in patients. The developed software and hardware system provides automated processing of video recordings to analyze human posture symmetry. This process begins with marking the first frame and concludes with the calculation of numerical characteristics based on segmentation and object tracking. The program utilizes a pre-trained neural model to segment images and identify control points such as the center of mass, key joints, and body lines. The program allows to save angles, area and deviations at each moment in time. The processing results are then converted into numerical tables and visualized as plots. The software is designed to generate video protocols, facilitating dynamic assessment of patients in ambulatory care settings. Its appli-cation revealed positive results: patients were divided into three significant groups, which corre-lates with common musculoskeletal syndromes. Specifically, the identified groups correspond to comorbidities in the craniocervical-shoulder and lumbar-femoral regions, as well as a combina-tion of temporomandibular joint dysfunction with psychological affective disorders. These findings highlight the potential of digital visual assessment for accelerating patient diagnosis and identify-ing muscle imbalances caused by modern sedentary lifestyles.