M.S. Ashapkina1, A.V. Alpatov2, V.I. Zhulev3
1,2 LLC “BIOTECHPRODAKTS” (Ryazan, Russia)
1–3 Ryazan State Radio Engineering University named after V.F. Utkina (Ryazan, Russia)
Diseases of the musculoskeletal system remain a serious problem for modern man. A long-term physical rehabilitation is required for the treatment of such condition. At the outpatient stage, it is carried out by the patient himself. There is a range of issues within transfer of a patient into the late period of re-habilitation which reduce the general efficiency of rehabilitation measures. First of all, it is a low availability, remoteness and limited throughput capability of rehabilitation centers and specialized sanitariums, except for large towns. So, rehabilitation within the late period is mainly fulfilled independently at home that decreases a quality of recovery exercise performance and result of such rehabilitation correspondingly. The patient doesn’t have the possibility of qualified control over the correctness of performing rehabilitation exercises at home. The remote monitoring system will allow to assess the patient's condition during the outpatient period objectively. However, existing technical solutions are difficult to use for an ordinary user. Therefore, a convenient system is needed that could increase the availability of medical services without the use of additional equipment. The presence of a motion sensor system in a smartphone increases the possibility of using this technical tool to monitor motor activity in everyday life. However, the transition from present systems that use two or more sensors to an inertial measurement system of a smartphone with one sensor requires the development of an algorithm for representing the construction of trajectories of changes in the position of the musculoskeletal system when performing exercises.
Purpose of the present paper is to create an algorithm for constructing trajectories of changes in the state of the musculoskeletal system, the purpose of which is to digitalize the structures of rehabilitation exercises and register their performance using the sensor of the inertial measuring system of a smartphone at one attachment point as the main means of control.
The use of a mobile system improves patients' commitment to physical rehabilitation and increases the effectiveness of outpatient treatment. During the development on the NEFITNESS project, the team developed and successfully implemented in clinical practice an algorithm for the digital representation of restorative exercises under the constraints associated with the use of a single inertial sensor. Within the framework of the development carried out by the authors, the following tasks for the development of the algorithm have been solved: 1) criteria for the selection of restorative exercises are formulated; 2) the choice of a segment of the musculoskeletal system is argumented in order to justify the location of the sensor; 3) a kinematic model of restorative exercises is constructed in order to obtain a model trajectory of changes in the state of the musculoskeletal apparatus at the point of placement of the technical means of motion control when performing the exercises (a template for the correct execution of the exercise has been formed).
The practical possibility of using an inertial measuring system of a smartphone with a single motion sensor to register changes in the position of the selected segment of the musculoskeletal system is presented. Within the framework of joint scientific research carried out at the Research Institute of Emergency Pediatric Surgery and Traumatology under the project "Development of a complex of remote physical rehabilitation of children", an algorithm for digital representation of restorative exercises implemented in the mobile application "NEFITNESS" was tested. The developed algorithm can be scaled and applied to solve different problems related to the digital representation of restorative exercises for other segments of the musculoskeletal system. At the moment, free access to mobile rehabilitation technologies is provided in the form of a mobile application “NEFITNES”.
Ashapkina M.S., Alpatov A.V., Zhulev V.I. Digital representation algorithm of recovery exercises using one inertial sensor. Biomedicine Radioengineering. 2023. V. 26. № 3. Р. 71-78. DOI: https://doi.org/10.18127/j15604136-202303-09 (In Russian).
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