Rastegarpanah, Alireza (2016). A methodology for the Lower Limb Robotic Rehabilitation system. University of Birmingham. Ph.D.
|
Rastegarpanah16PhD.pdf
Text - Accepted Version Available under License All rights reserved. Download (11MB) | Preview |
Abstract
The overall goal of this thesis is to develop a new functional lower limb robot-assisted rehabilitation system for people with a paretic lower limb. A unilateral rehabilitation method is investigated, where the robot acts as an assistive device to provide the impaired leg therapeutic training through simulating the kinematics and dynamics of the ankle and lower leg movements. Foot trajectories of healthy subjects and post-stroke patients were recorded by a dedicated optical motion tracking system in a clinical gait measurement laboratory. A prototype 6 degrees of freedom parallel robot was initially built in order to verify capability of achieving singularity-free foot trajectories of healthy subjects in various exercises. This was then followed by building and testing another larger parallel robot to investigate the real-sized foot trajectories of patients. The overall results verify the designed robot’s capability in successfully tracking foot trajectories during different exercises. The thesis finally proposes a system of bilateral rehabilitation based on the concept of self-learning, where a passive parallel mechanism follows and records motion signatures of the patient’s healthy leg, and an active parallel mechanism provides motion for the impaired leg based on the kinematic mapping of the motion produced by the passive mechanism.
Type of Work: | Thesis (Doctorates > Ph.D.) | ||||||
---|---|---|---|---|---|---|---|
Award Type: | Doctorates > Ph.D. | ||||||
Supervisor(s): |
|
||||||
Licence: | All rights reserved | ||||||
College/Faculty: | Colleges (2008 onwards) > College of Engineering & Physical Sciences | ||||||
School or Department: | School of Engineering, Department of Mechanical Engineering | ||||||
Funders: | Other | ||||||
Other Funders: | Applied Computing & Engineering Limited | ||||||
Subjects: | Q Science > QA Mathematics > QA75 Electronic computers. Computer science Q Science > QP Physiology T Technology > TJ Mechanical engineering and machinery |
||||||
URI: | http://etheses.bham.ac.uk/id/eprint/6778 |
Actions
Request a Correction | |
View Item |
Downloads
Downloads per month over past year