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A Gait Rehabilitation and Training System based on Personalized Trajectory Programming and Biofeedback Muhammad Kamrul Hasan Supervisor: Seung-Hun Park Thesis Proposal for completion of Masters in Biomedical Engineering
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Introduction Gait Rehabilitation and Training System
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Introduction Gait Rehabilitation and Training System
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Motivation Restoration of Natural Gait through Systematic & Physiotherapeutic Training For People with….. Paretic Legs Prosthetic Legs Leg Injury due to accident
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Research Background Neurological Rehabilitation Motor Relearning and CNS Plasticity Task Specific Repetitive Approach
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Rehabilitation Robotics End-Effector Patient Specific Natural Gait Pattern Simulation Restoring the Activities-of-Daily-Living (ADL) Visual Biofeedback Mechanism Safe and Soothing Rehabilitative Training Experience Significance
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Human Locomotion Analysis Robotic Simulator Design Patient Specific Walking Pattern Gait Trajectory Programming Key Aspects A Gait Rehabilitation and Training System based on Personalized Trajectory Programming and Biofeedback
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Key Aspects A Gait Rehabilitation and Training System based on Personalized Trajectory Programming and Biofeedback Human Locomotion Analysis Robotic Simulator Design Patient Specific Walking Pattern Gait Trajectory Programming
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Key Aspects A Gait Rehabilitation and Training System based on Personalized Trajectory Programming and Biofeedback Elliptical Shape of the Velocity Horizontal Displacement Along Time Empirical formula for relating body-height with gait parameter Human Locomotion Analysis Robotic Simulator Design Patient Specific Walking Pattern Gait Trajectory Programming
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Key Aspects A Gait Rehabilitation and Training System based on Personalized Trajectory Programming and Biofeedback MATLAB simulation of foot-plate movement for our gait trajectory guiding device Human Locomotion Analysis Robotic Simulator Design Patient Specific Walking Pattern Gait Trajectory Programming
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Key Aspects A Gait Rehabilitation and Training System based on Personalized Trajectory Programming and Biofeedback Personalized Gait Simulation Rehabilitation Robotics Variable Velocity Pattern in accordance with Natural Human Locomotion Data Acquisition in the Test Program Signal pulse out from horizontal motor encoder Zoomed Signal Velocity Graphs Acquired data from the Hardware
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Key Aspects A Gait Rehabilitation and Training System based on Personalized Trajectory Programming and Biofeedback 6%-10% of gait cycle 20% of gait cycle From 30% point to end of the stance Loading Response Mid Stance Terminal Stance Pre-Swing
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Key Aspects A Gait Rehabilitation and Training System based on Personalized Trajectory Programming and Biofeedback Vertical Ground Reaction Force Pressure Pattern COP Movement
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System Overview
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Ongoing Work and Future Scope Making the Motion smoother and more precise Implementing Biofeedback System in Real time Optimum Design of a Partial Body Weight Support System Literature Review on Neurological Rehabilitation An Intelligent Physiotherapeutic Approach for Training Algorithm
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Ongoing Work and Future Scope References: Seung Hun Park Professor, KyungHee University, Yongin, South Korea, Phone: +82-10-5288-3181 Email: parksh@khu.ac.krparksh@khu.ac.kr Publications: ■ Patient-Specific Walking Pattern Simulation in a Gait Trajectory Guiding Device, Muhammad Kamrul Hasan, Jang-Ho Park, Seung-Hun Park, Sun-Hee Hwang, Gon Khang, 31st Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC'09), 2-6 September, 2009, Minneapolis, Minnesota. ■ A Gait Rehabilitation and Training System based on Task Specific Repetitive Approach, Muhammad Kamrul Hasan, Seung-Hun Park, Sang-Jin Seo, Dae-Heung Sohn, Sun-Hee Hwang, Gon Khang, The 3rd International Conference on Bioinformatics and Biomedical Engineering, 10-13 June, 2009, Beijing, China. ■ Gait Trajectory Guiding Device for Gait Rehabilitation, Muhammad Kamrul Hasan, Seung-Hun Park, Gon Khang, Korean Society of Biomechanics Conference with special focus on Rehabilitation and Gerontechnology, October 9-10, 2008, KAIST, South Korea.
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Thank you
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