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Design and Preliminary Evaluation of a Novel Robotic System for Mobilization of Glenohumeral Joint Publisher Pubmed



Azarsa MH1 ; Mirbagheri A1, 2 ; Shadmehr A3 ; Karimi N4 ; Mirbagheri MM5
Authors
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Authors Affiliations
  1. 1. Department of Medical Physics and Biomedical Engineering, Tehran University of Medical Sciences, Iran
  2. 2. Research Center for Biomedical Technologies and Robotics (RCBTR)
  3. 3. Department of Physical Therapy, Tehran University of Medical Sciences, Tehran, Iran
  4. 4. Department of Physical Therapy, University of Social Welfare and Rehabilitation Sciences, Tehran, Iran
  5. 5. Department of Medical Physics and Biomedical Engineering, Tehran University of Medical Sciences and Neuralengineering Research Center, Noorafshar Hospital, Tehran, Iran

Source: Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society# EMBS Published:2019


Abstract

Joints mobilization is an essential but subjective treatment in the physical therapy of the patients with joint hypomobility such as frozen shoulder. Recently many instrumented force and displacement indentations have been proposed for assessing and diagnosis of joints stiffness. The devices are not, however, feasible and applicable for use in clinical and therapeutic conditions considering the requirements of the joints mobilization principles in physiotherapy. This paper describes a novel design of a robotic system for mobilization of glenohumeral joint and the preliminary evaluation of mobilization robot in a subject with hypomobile glenohumeral joint. A new mechanism is presented which enables the robotic system to execute the mobilization maneuver in 1 inch linear motion path when it grasps the glenohumeral joint and holds the upper limb situated in the 90 degrees relaxed abduction. It was shown that the mobilization robot can be used effectively and practical for mobilization treatment. Furthermore such a device may be used as a diagnostic and assessing device for evaluating the stage of hypomobility based on Maitland method. © 2019 IEEE.