Visualization and analysis of the shoulder joint biomechanics in postoperative rehabilitation

Описание

Тип публикации: доклад, тезисы доклада, статья из сборника материалов конференций

Конференция: Siberian Scientific Workshop on Data Analysis Technologies with Applications, SibDATA 2020

Год издания: 2020

Ключевые слова: biomechanics, con-trex, image analysis, imaging, mri image, rehabilitation, robotic mechanotherapy, shoulder joint

Аннотация: The research results in the field of computer visualization of the shoulder joint biomechanics are presented. The possibilities of using biomechanical robotic mechanotherapy on the CON-TREX training and diagnostic complex with biofeedback in the rehabilitation treatment of patients after arthroscopic shoulder surgery are shown. TheПоказать полностьюpossibilities of additional visualization of magnetic resonance imaging (MRI) data using spectral decomposition methods (shearlet transform and contrasting with color coding) are studied. Experiments with the use of the proposed diagnostic technique are described. The relationship between the MRI data and CON-TREX protocols in planning and implementing rehabilitation procedures is shown. The technique, which allows us to improve the quality and availability of MRI data in the study of the shoulder joint biomechanics during restorative treatment is described. Copyright © 2020 for this paper by its authors.

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Издание

Журнал: CEUR Workshop Proceedings

Выпуск журнала: Vol. 2727

Номера страниц: 34-41

ISSN журнала: 16130073

Издатель: CEUR-WS

Персоны

  • Kabaev E. (Federal Siberian Scientific and Clinical Center FMBA of Russia, 24 Kolomenskaya st., Krasnoyarsk, 660037, Russian Federation)
  • Hamad Y. (Siberian Federal University, 79 Svobodny st., Krasnoyarsk, 660041, Russian Federation)
  • Simonov K. (Institute of Computational Modelling of the Siberian Branch, Russian Academy of Sciences, 50/44 Akademgorodok, Krasnoyarsk, 660036, Russian Federation)
  • Zotin A. (Reshetnev Siberian State University of Science and Technology, 31 Krasnoyarsky Rabochy pr., Krasnoyarsk, 660037, Russian Federation)

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