Training multi-parameter gaits to reduce the knee adduction moment with data-driven models and haptic feedback.
Identifieur interne : 000F00 ( PubMed/Corpus ); précédent : 000E99; suivant : 000F01Training multi-parameter gaits to reduce the knee adduction moment with data-driven models and haptic feedback.
Auteurs : Pete B. Shull ; Kristen L. Lurie ; Mark R. Cutkosky ; Thor F. BesierSource :
- Journal of biomechanics [ 1873-2380 ] ; 2011.
English descriptors
- KwdEn :
- MESH :
- anatomy & histology : Knee, Knee Joint.
- physiology : Knee Joint.
- Adult, Biomechanical Phenomena, Equipment Design, Female, Gait, Humans, Male, Models, Anatomic, Osteoarthritis, Knee, Range of Motion, Articular, Walking.
Abstract
The purpose of this study was to evaluate gait retraining for reducing the knee adduction moment. Our primary objective was to determine whether subject-specific altered gaits aimed at reducing the knee adduction moment by 30% or more could be identified and adopted in a single session through haptic (touch) feedback training on multiple kinematic gait parameters. Nine healthy subjects performed gait retraining, in which data-driven models specific to each subject were determined through experimental trials and were used to train novel gaits involving a combination of kinematic changes to the tibia angle, foot progression and trunk sway angles. Wearable haptic devices were used on the back, knee and foot for real-time feedback. All subjects were able to adopt altered gaits requiring simultaneous changes to multiple kinematic parameters and reduced their knee adduction moments by 29-48%. Analysis of single parameter gait training showed that moving the knee medially by increasing tibia angle, increasing trunk sway and toeing in all reduced the first peak of the knee adduction moment with tibia angle changes having the most dramatic effect. These results suggest that individualized data-driven gait retraining may be a viable option for reducing the knee adduction moment as a treatment method for early-stage knee osteoarthritis patients with sufficient sensation, endurance and motor learning capabilities.
DOI: 10.1016/j.jbiomech.2011.03.016
PubMed: 21459384
Links to Exploration step
pubmed:21459384Le document en format XML
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Besier</name></author></titleStmt><publicationStmt><idno type="wicri:source">PubMed</idno><date when="2011">2011</date><idno type="doi">10.1016/j.jbiomech.2011.03.016</idno><idno type="RBID">pubmed:21459384</idno><idno type="pmid">21459384</idno><idno type="wicri:Area/PubMed/Corpus">000F00</idno></publicationStmt><sourceDesc><biblStruct><analytic><title xml:lang="en">Training multi-parameter gaits to reduce the knee adduction moment with data-driven models and haptic feedback.</title><author><name sortKey="Shull, Pete B" sort="Shull, Pete B" uniqKey="Shull P" first="Pete B" last="Shull">Pete B. Shull</name><affiliation><nlm:affiliation>Department of Mechanical Engineering, Stanford University, Center for Design Research, Stanford, CA 94305-2232, USA. pshull@stanford.edu</nlm:affiliation></affiliation></author><author><name sortKey="Lurie, Kristen L" sort="Lurie, Kristen L" uniqKey="Lurie K" first="Kristen L" last="Lurie">Kristen L. Lurie</name></author><author><name sortKey="Cutkosky, Mark R" sort="Cutkosky, Mark R" uniqKey="Cutkosky M" first="Mark R" last="Cutkosky">Mark R. Cutkosky</name></author><author><name sortKey="Besier, Thor F" sort="Besier, Thor F" uniqKey="Besier T" first="Thor F" last="Besier">Thor F. Besier</name></author></analytic><series><title level="j">Journal of biomechanics</title><idno type="eISSN">1873-2380</idno><imprint><date when="2011" type="published">2011</date></imprint></series></biblStruct></sourceDesc></fileDesc><profileDesc><textClass><keywords scheme="KwdEn" xml:lang="en"><term>Adult</term><term>Biomechanical Phenomena</term><term>Equipment Design</term><term>Female</term><term>Gait</term><term>Humans</term><term>Knee (anatomy & histology)</term><term>Knee Joint (anatomy & histology)</term><term>Knee Joint (physiology)</term><term>Male</term><term>Models, Anatomic</term><term>Osteoarthritis, Knee</term><term>Range of Motion, Articular</term><term>Walking</term></keywords><keywords scheme="MESH" qualifier="anatomy & histology" xml:lang="en"><term>Knee</term><term>Knee Joint</term></keywords><keywords scheme="MESH" qualifier="physiology" xml:lang="en"><term>Knee Joint</term></keywords><keywords scheme="MESH" xml:lang="en"><term>Adult</term><term>Biomechanical Phenomena</term><term>Equipment Design</term><term>Female</term><term>Gait</term><term>Humans</term><term>Male</term><term>Models, Anatomic</term><term>Osteoarthritis, Knee</term><term>Range of Motion, Articular</term><term>Walking</term></keywords></textClass></profileDesc></teiHeader><front><div type="abstract" xml:lang="en">The purpose of this study was to evaluate gait retraining for reducing the knee adduction moment. Our primary objective was to determine whether subject-specific altered gaits aimed at reducing the knee adduction moment by 30% or more could be identified and adopted in a single session through haptic (touch) feedback training on multiple kinematic gait parameters. Nine healthy subjects performed gait retraining, in which data-driven models specific to each subject were determined through experimental trials and were used to train novel gaits involving a combination of kinematic changes to the tibia angle, foot progression and trunk sway angles. Wearable haptic devices were used on the back, knee and foot for real-time feedback. All subjects were able to adopt altered gaits requiring simultaneous changes to multiple kinematic parameters and reduced their knee adduction moments by 29-48%. Analysis of single parameter gait training showed that moving the knee medially by increasing tibia angle, increasing trunk sway and toeing in all reduced the first peak of the knee adduction moment with tibia angle changes having the most dramatic effect. These results suggest that individualized data-driven gait retraining may be a viable option for reducing the knee adduction moment as a treatment method for early-stage knee osteoarthritis patients with sufficient sensation, endurance and motor learning capabilities.</div></front></TEI><pubmed><MedlineCitation Owner="NLM" Status="MEDLINE"><PMID Version="1">21459384</PMID><DateCreated><Year>2011</Year><Month>05</Month><Day>02</Day></DateCreated><DateCompleted><Year>2011</Year><Month>10</Month><Day>03</Day></DateCompleted><DateRevised><Year>2013</Year><Month>11</Month><Day>21</Day></DateRevised><Article PubModel="Print-Electronic"><Journal><ISSN IssnType="Electronic">1873-2380</ISSN><JournalIssue CitedMedium="Internet"><Volume>44</Volume><Issue>8</Issue><PubDate><Year>2011</Year><Month>May</Month><Day>17</Day></PubDate></JournalIssue><Title>Journal of biomechanics</Title><ISOAbbreviation>J Biomech</ISOAbbreviation></Journal><ArticleTitle>Training multi-parameter gaits to reduce the knee adduction moment with data-driven models and haptic feedback.</ArticleTitle><Pagination><MedlinePgn>1605-9</MedlinePgn></Pagination><ELocationID EIdType="doi" ValidYN="Y">10.1016/j.jbiomech.2011.03.016</ELocationID><Abstract><AbstractText>The purpose of this study was to evaluate gait retraining for reducing the knee adduction moment. Our primary objective was to determine whether subject-specific altered gaits aimed at reducing the knee adduction moment by 30% or more could be identified and adopted in a single session through haptic (touch) feedback training on multiple kinematic gait parameters. Nine healthy subjects performed gait retraining, in which data-driven models specific to each subject were determined through experimental trials and were used to train novel gaits involving a combination of kinematic changes to the tibia angle, foot progression and trunk sway angles. Wearable haptic devices were used on the back, knee and foot for real-time feedback. All subjects were able to adopt altered gaits requiring simultaneous changes to multiple kinematic parameters and reduced their knee adduction moments by 29-48%. Analysis of single parameter gait training showed that moving the knee medially by increasing tibia angle, increasing trunk sway and toeing in all reduced the first peak of the knee adduction moment with tibia angle changes having the most dramatic effect. These results suggest that individualized data-driven gait retraining may be a viable option for reducing the knee adduction moment as a treatment method for early-stage knee osteoarthritis patients with sufficient sensation, endurance and motor learning capabilities.</AbstractText><CopyrightInformation>Copyright © 2011 Elsevier Ltd. All rights reserved.</CopyrightInformation></Abstract><AuthorList CompleteYN="Y"><Author ValidYN="Y"><LastName>Shull</LastName><ForeName>Pete B</ForeName><Initials>PB</Initials><AffiliationInfo><Affiliation>Department of Mechanical Engineering, Stanford University, Center for Design Research, Stanford, CA 94305-2232, USA. pshull@stanford.edu</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Lurie</LastName><ForeName>Kristen L</ForeName><Initials>KL</Initials></Author><Author ValidYN="Y"><LastName>Cutkosky</LastName><ForeName>Mark R</ForeName><Initials>MR</Initials></Author><Author ValidYN="Y"><LastName>Besier</LastName><ForeName>Thor F</ForeName><Initials>TF</Initials></Author></AuthorList><Language>eng</Language><PublicationTypeList><PublicationType UI="D016428">Journal Article</PublicationType><PublicationType UI="D013485">Research Support, Non-U.S. Gov't</PublicationType></PublicationTypeList><ArticleDate DateType="Electronic"><Year>2011</Year><Month>04</Month><Day>02</Day></ArticleDate></Article><MedlineJournalInfo><Country>United States</Country><MedlineTA>J Biomech</MedlineTA><NlmUniqueID>0157375</NlmUniqueID><ISSNLinking>0021-9290</ISSNLinking></MedlineJournalInfo><CitationSubset>IM</CitationSubset><MeshHeadingList><MeshHeading><DescriptorName MajorTopicYN="N" UI="D000328">Adult</DescriptorName></MeshHeading><MeshHeading><DescriptorName MajorTopicYN="N" UI="D001696">Biomechanical Phenomena</DescriptorName></MeshHeading><MeshHeading><DescriptorName MajorTopicYN="N" UI="D004867">Equipment Design</DescriptorName></MeshHeading><MeshHeading><DescriptorName MajorTopicYN="N" UI="D005260">Female</DescriptorName></MeshHeading><MeshHeading><DescriptorName MajorTopicYN="Y" UI="D005684">Gait</DescriptorName></MeshHeading><MeshHeading><DescriptorName MajorTopicYN="N" UI="D006801">Humans</DescriptorName></MeshHeading><MeshHeading><DescriptorName MajorTopicYN="N" UI="D007717">Knee</DescriptorName><QualifierName MajorTopicYN="Y" UI="Q000033">anatomy & histology</QualifierName></MeshHeading><MeshHeading><DescriptorName MajorTopicYN="N" UI="D007719">Knee Joint</DescriptorName><QualifierName MajorTopicYN="Y" UI="Q000033">anatomy & histology</QualifierName><QualifierName MajorTopicYN="N" UI="Q000502">physiology</QualifierName></MeshHeading><MeshHeading><DescriptorName MajorTopicYN="N" UI="D008297">Male</DescriptorName></MeshHeading><MeshHeading><DescriptorName MajorTopicYN="N" UI="D008953">Models, Anatomic</DescriptorName></MeshHeading><MeshHeading><DescriptorName MajorTopicYN="N" UI="D020370">Osteoarthritis, Knee</DescriptorName></MeshHeading><MeshHeading><DescriptorName MajorTopicYN="N" UI="D016059">Range of Motion, Articular</DescriptorName></MeshHeading><MeshHeading><DescriptorName MajorTopicYN="Y" UI="D016138">Walking</DescriptorName></MeshHeading></MeshHeadingList></MedlineCitation><PubmedData><History><PubMedPubDate PubStatus="received"><Year>2010</Year><Month>11</Month><Day>6</Day></PubMedPubDate><PubMedPubDate PubStatus="revised"><Year>2011</Year><Month>3</Month><Day>12</Day></PubMedPubDate><PubMedPubDate PubStatus="accepted"><Year>2011</Year><Month>3</Month><Day>14</Day></PubMedPubDate><PubMedPubDate PubStatus="aheadofprint"><Year>2011</Year><Month>4</Month><Day>2</Day></PubMedPubDate><PubMedPubDate PubStatus="entrez"><Year>2011</Year><Month>4</Month><Day>5</Day><Hour>6</Hour><Minute>0</Minute></PubMedPubDate><PubMedPubDate PubStatus="pubmed"><Year>2011</Year><Month>4</Month><Day>5</Day><Hour>6</Hour><Minute>0</Minute></PubMedPubDate><PubMedPubDate PubStatus="medline"><Year>2011</Year><Month>10</Month><Day>4</Day><Hour>6</Hour><Minute>0</Minute></PubMedPubDate></History><PublicationStatus>ppublish</PublicationStatus><ArticleIdList><ArticleId IdType="pii">S0021-9290(11)00266-1</ArticleId><ArticleId IdType="doi">10.1016/j.jbiomech.2011.03.016</ArticleId><ArticleId IdType="pubmed">21459384</ArticleId></ArticleIdList></PubmedData></pubmed></record>Pour manipuler ce document sous Unix (Dilib)
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