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    Quantitative Assessment of Parkinson Patient’s Health Improvement Using Kinect for Telerehabilitation

    , M.Sc. Thesis Sharif University of Technology Alavian, Mostafa (Author) ; Behzadipour, Saeed (Supervisor) ; Taghizade, Ghorban (Co-Supervisor)
    Abstract
    Parkinson's disease is the most common progressive neurological disorder after Alzheimer, which is associated with motor disabilities. One of the most effective ways to improve patient’s condition with this disease, is rehabilitation.Assessment of the patient during rehabilitation is very important in order to give a better understanding of patient's status to the specialist, but qualitative assessment methods in traditional rehabilitation are ineffective in fast and accurate evaluation of the patient's condition; and because of their need for patient’s attendance in clinic, they will incur huge medical costs. Therefore, the purpose of the present study is to present a quantitative method to... 

    Accuracy of the Microsoft Kinect in Measurement of the Trunk Kinematics for the Analyze of Load in Musculoskeletal Models

    , M.Sc. Thesis Sharif University of Technology Asadi, Fatemeh (Author) ; Arjmand, Navid (Supervisor)
    Abstract
    Low back pain is one of the most prevalent musculoskeletal injuries in occupational activities. In order to reduce or prevent it, it is necessary to estimate the mechanical loads of body joints. Direct measurement of spinal loads is invasive and costly. Therefore, musculoskeletal modeling is a convenient tool in estimation of joints and muscles loads that often uses kinematics information as input.Marker-based motion capture systems are one of the most common ways for the estimation of body kinematics. Unfortunately, they are time consuming and expensive. Thus being marker-free and low-cost, Microsoft Kinect is a suitable alternative. Recent studies often have investigated accuracy of... 

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

    , M.Sc. Thesis Sharif University of Technology Abouei Mehrizi, Mojtaba (Author) ; Behzadipour, Saeed (Supervisor) ; Taghizadeh, Ghorban (Supervisor)
    Abstract
    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...