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Classification of Pd Patients Based on the Quality of the Upper Extremity Movements Using a Combination of the Kinematic Indices

Abouei Mehrizi, Mojtaba | 2020

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  1. Type of Document: M.Sc. Thesis
  2. Language: Farsi
  3. Document No: 53332 (08)
  4. University: Sharif University of Technology
  5. Department: Mechanical Engineering
  6. Advisor(s): Behzadipour, Saeed; Taghizadeh, Ghorban
  7. Abstract:
  8. Parkinson's disease, after Alzheimer's, is the most important and common progressive neurodegenerative disorders. There are various methods for assessing the quality of patients’ movements. One of them is biomechanical methods. The application of these methods in telerehabilitation has been considered by many researchers. Telerehabilitation improves the efficiency of the therapists and reduces problems such as commute costs, traffic stress, and patient fatigue.In the present study, 21 Parkinson patients were treated and evaluated remotely using SANA system. This study aimed to investigate the effects of the therapist absence during the tele-assessment and its impact on the validity and reliability of the kinematics indices and also the classification of Parkinson's patients based on the quality of upper limb movement using a combination of kinematics indices.For this purpose, clinical tests were administered on patients, then the rehabilitation system was installed at their home. They worked with the device for 24 to 30 sessions, according to the therapist’s instruction. At the end of the treatment period, clinical tests were taken from the patients again. During this period kinematic data were collected. Kinematics indices for patients were calculated, then by using the optimization algorithms, the most effective combination of metrics was obtained and introduced as a representative of all indices.The results showed that the reliability of most of the indices in telerehabilitation does not change much compared to the in-clinic setting (ICC higher than 0.75). However, in evaluating the validity of the indices, the Pearson correlation coefficient in telerehabilitation decreases significantly compared to the in-clinic, which was expected due to the lack of supervision of the therapist. In general, among the indices studied in this research, the average speed (correlation 0.445), average values at the peaks of the speed chart (correlation 0.448), path curvature (correlation 0.46), and composite index type 1 (correlation 0.446) are suitable for patient evaluation, both in clinical and tele-rehabilitation
  9. Keywords:
  10. Kinect Sensor ; Parkinson Disease ; Tele-rehabilitation ; Upper Limb ; Kinematic Biomechanical Indices ; Functional Quality Assessment

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