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Development of a Neuro-muscular Model for Stroke Patient in Reaching Motion and Experimental Evaluation

Nikzad Goltapeh, Akbar | 2018

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  1. Type of Document: M.Sc. Thesis
  2. Language: Farsi
  3. Document No: 50773 (08)
  4. University: Sharif University of Technology
  5. Department: Mechanical Engineering
  6. Advisor(s): Behzadipour, Saeed
  7. Abstract:
  8. Paralysis is one of the most common disabilities resulting from stroke. Usually injury to one hemisphere of the brain affects the opposite side of the body. This one-sided paralysis is called hemiplegia Damage to a lower part of the brain, the cerebellum, can affect the body's ability to coordinate movement, a disability called ataxia, leading to problems with body posture, walking, and balance. Reaching tasks are building blocks of most daily functional movements. The purpose of such a movement is to transfer a specific point of hand (e.g. fingertip) toward a special location in space around. In people with ataxia, trajectories of reaching movements are far different from healthy people in shape and smoothness. studying of kinetics and dynamic properties of reaching movements leads to better understanding of effects of stroke on motor control. Therefore, develop an accurate neuro-muscular model of human motor control to simulate stroke effects on is unavoidable. First section of this research is dedicated to design and build of an accurate assessment tool for reaching movement in transverse plane. Method of recording data on the use of marker and camera has a low precision. This tool provides a virtual reality environment and records the data with higher precision and lower error. In the second section, existing neuro-muscular model in literature is developed for stroke patients in reaching motion. In the developed model, an optimal control plays the planning role of central nervous system and the effects of stroke on the hand is applied to the cost function of the optimal control problem as muscle activity coefficients and to the dynamic equations as equivalent torques of muscle tones. Part of the Experimental data is utilized to determine the model parameters and the remaining part is used to evaluate the model validity Totally, the developed model is able to reconstruct the average motion behavior of stroke patient for different path trajectories
  9. Keywords:
  10. Optimal Control ; Neuromusculoskeletal Model ; Reaching Task ; Stroke ; Stroke Patient ; Movement Assesment

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