FIELD: medicine.
SUBSTANCE: invention relates to methods of treatment of diseases of the human musculoskeletal system, and in particular to methods of kinesiotherapy treatment using machine vision and artificial intelligence. A method of kinesitherapeutic treatment of diseases of the musculoskeletal system is proposed, characterized by the following: initially an anamnesis of the patient's life and disease is collected, functional diagnostics of the patient's musculoskeletal system is conducted and the results of the collection of anamnesis and functional diagnostics are transmitted to a server, where a list of preliminary diagnoses is formed, based on which the selection of kinesitherapeutic exercises recommended for treatment is made in the form of complexes aimed at restoring a certain part of the human musculoskeletal system; the exercises that are contraindicated in concomitant diseases or in the current disease are excluded from the list, after which the formed sets of exercises with recommendations on technique and the frequency of their execution are transmitted to the patient's client application, then the patient performs the specified list of exercises, while the patient performs the exercises in front of the video camera associated with the client application, while in the client application a video sequence is formed in which the patient's image is selected and a skeletal 3D model is built in the form of an undirected graph with vertices at reference points located at the junction of the main bones of a person and also the face of a person, after that, the angular displacements of each reference point are evaluated during the performance of diagnostic exercises. and the resulting angular displacements are compared with the angular displacements of the reference exercise, while reporting errors to the patient or signaling the patient to stop exercising.
EFFECT: invention reduces the risk of injury or exacerbation of diseases of the musculoskeletal system when the patient independently performs kinesitherapeutic exercises, as well as monitoring the progress of treatment and the regularity of performing kinesitherapeutic exercises.
3 cl, 6 dwg
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Authors
Dates
2023-05-31—Published
2022-11-28—Filed