cardiotomskСибирский журнал клинической и экспериментальной медициныSiberian Journal of Clinical and Experimental Medicine2713-29272713-265XTSU publishing10.29001/2073-8552-2022-644cardiotomsk-2017Research ArticleКРАТКИЕ СООБЩЕНИЯSHORT REPORTSВыбор математической модели походки человека для применения в реабилитационных устройствахSelection of human gait mathematical model for use in rehabilitation deviceshttps://orcid.org/0009-0008-4915-0874ВоронойВ. В.VoronoyV. V.

Вороной Вадим Владимирович, канд. техн. наук, доцент кафедры систем сбора и обработки данных

630073, Новосибирск, пр-т К. Маркса, 20

Vadim V. Voronoy, Cand. Sci. (Tech.), Associate Professor, Data Collection and Processing Systems Department

20, Karla Marksa str., Novosibirsk, 630073

voronoj@corp.nstu.ruhttps://orcid.org/0009-0000-0208-0997ВерховодД. П.VerhovodD. P.

Верховод Дмитрий Павлович, младший научный сотрудник, Центр технологического превосходства

630073, Новосибирск, пр-т К. Маркса, 20

Dmitriy P. Verhovod, Junior Research Scientist, Technology Excellence Center

20, Karla Marksa str., Novosibirsk, 630073

verxovod@corp.nstu.ruНовосибирский государственный технический университетРоссияNovosibirsk State Technical UniversityRussian Federation202330122023384231235Copyright © Вороной В.В., Верховод Д.П., 20232023Вороной В.В., Верховод Д.П.Voronoy V.V., Verhovod D.P.Данная работа распространяется под лицензией Creative Commons Attribution 4.0.This work is licensed under a Creative Commons Attribution 4.0 License.https://www.sibjcem.ru/jour/article/view/2017

В связи с прогрессированием заболеваний опорно-двигательного аппарата и роста количества травм позвоночника все большую актуальность приобретает применение  многофункциональных  реабилитационных  комплексов отечественной разработки для функциональной терапии этих состояний.

Цель исследования

Цель исследования: анализ существующих моделей походки человека и выбор модели, подходящей для оптимального конструкторского и инженерного решения мехатронного реабилитационного комплекса, воздействующего на нижние конечности человека.

Материал и методы

Материал и методы. Проведен анализ существующих технических решений реабилитационных комплексов, краткий обзор основных подходов изучения походки человека, сделан выбор модели, приведено ее подробное описание для реализации в рамках разработки роботизированного реабилитационного комплекса функциональной терапии.

Результаты

Результаты. В результате проведенных исследований были получены данные о положении ног в процессе походки, проведена визуализация процесса ходьбы для выявления недостатков выбранной модели. Выбранная модель реализована в экспериментальном образце реабилитационного комплекса.

Заключение

Заключение. В дальнейшем необходимо доработать модель и провести сравнение с моделью, основанной на машинном обучении, и наиболее реалистичный вариант использовать в реабилитационных комплексах.

Due to musculoskeletal diseases progression and increase in spinal injuries, the use of domestically developed multifunctional rehabilitation complexes for functional therapy is becoming increasingly important.

Aim

Aim: To analyze existing human gait patterns and select a suitable model for choosing the optimal design and engineering solution for a mechatronic rehabilitation complex, affecting the lower limbs of a person.

Methodology and Research Methods. An analysis of existing technical solutions for rehabilitation complexes was carried out. Brief overview of the main approaches to studying human gait is provided. A model was selected; its detailed description is given for implementation for the robotic rehabilitation complex of functional therapy development.

Results

Results. As a result of the study, data on the position of the legs during gait was obtained and visualization of the walking process was carried out to identify the shortcomings for the selected model. The selected model is implemented in the experimental sample rehabilitation complex.

Conclusion

Conclusion. In the future, it is necessary to refine the model and compare it with a model based on machine learning, and use the most realistic option in rehabilitation complexes.

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The authors declare that there are no conflicts of interest present.