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The development of a Smart Shoulder-wheel for Analysis of Shoulder Tendonitis Injuries

Hashemi, Naser | 2015

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  1. Type of Document: M.Sc. Thesis
  2. Language: Farsi
  3. Document No: 47871 (08)
  4. University: Sharif University of Technology
  5. Department: Mechanical Engineering
  6. Advisor(s): Behzadipour, Saeed
  7. Abstract:
  8. Nowadays the process of making smart rehabilitations' equipment is at the centre of physicists' attention, so this affair is a matter of research in the medical engineering.Amongst of the advantages of this method there are: increasing the efficiency, recording patients' information, no need for continuous physiotherapists and therapists' presence in all the process of medical treatment, and saving time and money. In addition, due to removing traditional methods of rehabilitation, the precision and control ability of medical treatment is considerably increased, reducing the unexpected injuries during the exercise. The shoulder wheel is one of the useful devise in clinics physiotherapy which is used for rehabilitation of shoulders in patients suffering from stroke or spinal injury, or is used for preparing patients before shoulder's surgeries. The aim of this thesis is to make shoulder-wheels smart so that we can analyze a kind of shoulder's injury called tendonitis. Thus we need to explore the differences between healthy shoulders and injured ones. First of all the wheel should be modeled and made smartly, and then with the aid of musculoskeletal modeling of shoulders and performing clinical tests on patients we can pursue our final goal. In order to conduct this project, firstly a smart shoulder-wheel, which is able to record the Kinematic information of the movements of wheel, is modeled and made. Secondly, musculoskeletal modeling of a hand along with simulation of system of a shoulder-wheel is done based on specific software. Finally, by performing clinical tests on shoulder-injured people, we present a statistical society for analysis of healthy and injured hands, and study these kinds of injuries. Presenting the biomechanical and Kinematic differences between healthy and injured hands based on the given information is the amongst the results of this investigation. Firstly, based on the recorded information of the movements of the wheel the differences of kinematic indicators of healthy and injured hands are determined which are sequentially as follow: average velocity, average acceleration, and average jerk of wheel. Secondly, by using musculoskeletal modeling of the shoulder and the virtual simulation of the shoulder-wheel, we compare the given kinematic information of shoulder-wheel, as input in the model of wheel which is acquired by performing clinical tests, and discrepancy in the amount of activity of the model of shoulder muscle in healthy and injured hands, and we analyze the injury from a biomechnical point of view
  9. Keywords:
  10. Musculoskeletal Modeling ; Shoulder Musclotendon Skelet Model ; Smart Shoulder Wheel ; Smart Rehabilitation ; Tendonitis Injuries

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