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Introduction and Analysis of Energy Index to Evaluate Arm Motion Quality in Neuromuscular Patients

Nozari Porshokouhi, Pouria | 2017

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  1. Type of Document: M.Sc. Thesis
  2. Language: Farsi
  3. Document No: 49287 (08)
  4. University: Sharif University of Technology
  5. Department: Mechanical Engineering
  6. Advisor(s): Behzadipour, Saeed; Hoviattalab, Maryam
  7. Abstract:
  8. Quantitative motion quality evaluation has been always of much significance for CVA patients, especially the HCP ones. The purpose of the present study is to introduce and analyze the efficiency of a novel index, namely “Consumed Energy Index”, for evaluating the quality of the motions performed by HCP patients. For this purpose, Firstly, a Musculo-Skeletal model of the human arm was provided on Matlab and OpenSim softwares, with four DoFs: three DoFs at shoulder and one DoF at elbow joint as well as eight muscles. The muscles are in pairs of flexor-extensor at each DoF. The model is capable of receiving Cartesian trajectories for joints and solving inverse kinematics and dynamics to obtain the joint's velocity and torque trajectories. Then, the model takes advantage of a metabolic power formulation to calculate the values of the consumed metabolic energy of the arm and consequently the Normal Energy Index of the motion. The above-mentioned procedure was carried out for actual data. Thus, for this purpose, motion data of 34 CVA and 6 healthy subjects was taken from the database that had been previously recorded by Fakhar via Kinect sensor. It should be noted that a Physiotherapist as well as an Occupational therapist had also graded the subjects’ motions. Before applying the data to the model for each motion, the motion was smoothened by a B-Spline Filter. As the Energy index was obtained for the each of the motions performed by the subjects, the correlation analysis was done for the dataset of the Energy indices and the Brunnstrom grades. As a result, the efficiency of the Energy index was evaluated. The results of correlation analysis showed that the Energy index values obtained for the diagonal motions represent the best amount of correlation amongst the other kinds of motion(r = -0.73 for when normalized by the distance and the individual patterns and r = -0.84 for when normalized by distance, velocity and individual patterns). Furthermore, the mean index, which was obtained as the average of the index values for all motions done by one subject, showed a relatively good and promising correlation with Brunnstrom grades (r = -0.73 with Physiotherapist grades). On the other hand, it can be claimed that for any of the motions, whenever the raw values of metabolic energy cost were normalized by both the distance covered by the hand as well as the mean velocity of the hand rather than being normalized only by the distance, greater values were obtained for correlation.
  9. Keywords:
  10. Upper Limb ; Rehabilitation ; Musculoskeletal Modeling ; Energy Index ; Correlation ; Three Dimensional Dynamic Analysis ; Kinematics Analysis ; Motion Quality Evaluation ; Motion Biomechanics ; Three Dimentional Kinematics Analysis

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