Identification, Simulation and Control of an Ankle Foot Orthosis

Drop foot is a neuromuscular condition affecting many patients with abnormality in the walking pattern. The most common treatment to address this condition is ankle foot orthoses. This research presents a study on development of an identified model for a torsional shape memory alloy-based ankle foot orthosis for drop foot disorder. The model has been developed in stages. First, a dynamic model of ankle in walking is developed using identification method. A dynamic model of torsional shape memory materials is then developed. In the final stage, these two models are combined. This final model is employed to evaluate performance of the proposed ankle foot orthosis in mitigating drop foot. To this end, a control system is developed to match dynamic behavior of the patient with normal ankle behavior. This research provides a computation approach to design and develop advance assistive devices for ankle such as orthosis, prosthesis and bionic.

Name thesis:degree_name

Master of Science in Electrical Engineering

Level thesis:degree_level

masters

Discipline thesis:degree_discipline

Electrical Engineering

Grantor dc:publisher

University of Toledo

Year dc:date

2012

Author dc:creator

• Abdollahi Sofla, Mohammadhassan

Contributors dc:contributor

• Elahinia, Mohammad

• Biomechanics
• Electrical Engineering
• Engineering
• Mechanical Engineering
• Control
• Identification
• Modeling
• Orthosis
• AFO
• SMA

Statement dc:rights

• unrestricted
• This thesis or dissertation is protected by copyright: all rights reserved. It may not be copied or redistributed beyond the terms of applicable copyright laws.

Language dc:language

English

Repository record dc:identifier

http://rave.ohiolink.edu/etdc/view?acc_num=toledo1341502439

OAI identifier oai:identifier

oai:etd.ohiolink.edu:toledo1341502439