| Verification of accuracy and validity of gait phase detection system using motion sensors for applying walking assistive FES. | |
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MedLine Citation:
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PMID: 21607889 Owner: NLM Status: Publisher |
Abstract/OtherAbstract:
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In this study, we have analysed heel strike (HS) and toe off (TO) of normal individuals and hemiplegic patients, taking advantage of output curves acquired from various sensors, and verified the validity of sensor detection methods and their effectiveness when they were used for hemiplegic gaits. Gait phase detections using three different motion sensors were valid, since they all had reliabilities more than 95%, when compared with foot velocity algorithm. Results showed that the tilt sensor and the gyrosensor could detect gait phase more accurately in normal individuals. Vertical acceleration could detect HS most accurately in hemiplegic patient group A. The gyrosensor could detect HS and TO most accurately in hemiplegic patient groups A and B. The detection of TO from all sensor signals was valid in both the patient groups A and B. However, the vertical acceleration detected HS validly in patient group A and the gyrosensor detected HS validly in patient group B. |
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Authors:
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Sunwoo Park; Kihong Ryu; Jungyoon Kim; Jongsang Son; Youngho Kim |
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Publication Detail:
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Type: JOURNAL ARTICLE Date: 2011-5-01 |
Journal Detail:
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Title: Computer methods in biomechanics and biomedical engineering Volume: - ISSN: 1476-8259 ISO Abbreviation: - Publication Date: 2011 May |
Date Detail:
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Created Date: 2011-5-24 Completed Date: - Revised Date: - |
Medline Journal Info:
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Nlm Unique ID: 9802899 Medline TA: Comput Methods Biomech Biomed Engin Country: - |
Other Details:
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Languages: ENG Pagination: 1-7 Citation Subset: - |
Affiliation:
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Department of Biomedical Engineering, Institute of Medical Engineering, Yonsei University, Wonju, Gangwon, South Korea. |
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From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine
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