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Assessment of Movement Smoothness Indices in Hand Movement of Stroke Patients with Motion Capture System

Feizi, Navid | 2018

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  1. Type of Document: M.Sc. Thesis
  2. Language: Farsi
  3. Document No: 51592 (08)
  4. University: Sharif University of Technology
  5. Department: Mechanical Engineering
  6. Advisor(s): Behzadipour, Saeed
  7. Abstract:
  8. Nowadays, stroke is known as one of the main reasons for death and disability. Statistical researches have shown that the number of stroke survivors is growing. Assessing stroke stage is one of the vital requirement of effective rehabilitation. Since the recent decades, new methods to assess upper extremity movement quality based on movement kinematic have been proposed in the literature. These methods quantify movement quality with the use of kinematic indices. In this study, repeatability and reliability of the proposed indices have been evaluated in a functional motion of daily activity consisted of diverse tasks. In this study, calculations were done on captured data of hand's movement kinematics of 48 patients which were captured in another study while they were doing a functional task of moving a jar near to the body and returning it back to the initial place by the impaired hand. Proposed kinematic indices have been calculated for each task and movement part. ICC, Shapiro Wilk and paired T-test have been calculated on the result of indices to check the repeatability, normality and validity of the results, respectively. Moreover, minimal detectable change was calculated on indices which were repeatable and valid. Results have shown that mean peaks metrics, mean velocity metrics, dimensionless RMS jerk, dimensionless absolute jerk, and peak metrics are repeatable and valid on tasks and SPARC metrics is repeatable and valid only on movement parts
  9. Keywords:
  10. Stroke ; Integration Indices ; Motion Capture ; Movement Parts ; Functional Movement ; Movement Assesment

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