| Robot assisted treadmill training: Mechanisms and training strategies. | |
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MedLine Citation:
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PMID: 21216650 Owner: NLM Status: Publisher |
Abstract/OtherAbstract:
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The rehabilitation engineering community is working towards the development of robotic devices that can assist during gait training of patients suffering from neurologic injuries such as stroke and spinal cord injuries (SCI). The field of robot assisted treadmill training has rapidly evolved during the last decade. The robotic devices can provide repetitive, systematic and prolonged gait training sessions. This paper presents a review of the treadmill based robotic gait training devices. An overview of design configurations and actuation methods used for these devices is provided. Training strategies designed to actively involve the patient in robot assisted treadmill training are studied. These training strategies assist the patient according to the level of disability and type of neurologic injury. Although the efficacy of these training strategies is not clinically proven, adaptive strategies may result in substantial improvements. We end our review with a discussion covering major advancements made at device design and training strategies level and potential challenges to the field. |
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Authors:
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Shahid Hussain; Sheng Quan Xie; Guangyu Liu |
Publication Detail:
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Type: JOURNAL ARTICLE Date: 2011-1-7 |
Journal Detail:
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Title: Medical engineering & physics Volume: - ISSN: 1873-4030 ISO Abbreviation: - Publication Date: 2011 Jan |
Date Detail:
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Created Date: 2011-1-10 Completed Date: - Revised Date: - |
Medline Journal Info:
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Nlm Unique ID: 9422753 Medline TA: Med Eng Phys Country: - |
Other Details:
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Languages: ENG Pagination: - Citation Subset: - |
Copyright Information:
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Copyright © 2010 IPEM. Published by Elsevier Ltd. All rights reserved. |
Affiliation:
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Department of Mechanical Engineering, The University of Auckland, 20 Symonds Street, Auckland 1142, New Zealand. |
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From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine
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