Training multi-parameter gaits to reduce the knee adduction moment with data-driven models and haptic feedback
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 thro...
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| Veröffentlicht in: | Journal of biomechanics 2011-05, Vol.44 (8), p.1605-1609 |
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| creator | Shull, Pete B Lurie, Kristen L Cutkosky, Mark R Besier, Thor F |
| description | 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_str_mv | 10.1016/j.jbiomech.2011.03.016 |
| format | Article |
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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.</description><identifier>ISSN: 0021-9290</identifier><identifier>EISSN: 1873-2380</identifier><identifier>DOI: 10.1016/j.jbiomech.2011.03.016</identifier><identifier>PMID: 21459384</identifier><language>eng</language><publisher>Kidlington: Elsevier Ltd</publisher><subject>Adult ; Biological and medical sciences ; Biomechanical Phenomena ; Diseases of the osteoarticular system ; Equipment Design ; Female ; Gait ; Gait retraining ; Haptic ; Humans ; Knee - anatomy & histology ; Knee adduction moment ; Knee Joint - anatomy & histology ; Knee Joint - physiology ; Male ; Medical sciences ; Miscellaneous ; Models, Anatomic ; Osteoarthritis ; Osteoarthritis, Knee ; Physical Medicine and Rehabilitation ; Radiotherapy. Instrumental treatment. Physiotherapy. Reeducation. Rehabilitation, orthophony, crenotherapy. Diet therapy and various other treatments (general aspects) ; Range of Motion, Articular ; Real-time feedback ; Walking</subject><ispartof>Journal of biomechanics, 2011-05, Vol.44 (8), p.1605-1609</ispartof><rights>Elsevier Ltd</rights><rights>2011 Elsevier Ltd</rights><rights>2015 INIST-CNRS</rights><rights>Copyright © 2011 Elsevier Ltd. All rights reserved.</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c512t-24c09da6e8fcf8fb4fc560be7c0ce770b98e47402d600ef65fe51c1d639a7de3</citedby><cites>FETCH-LOGICAL-c512t-24c09da6e8fcf8fb4fc560be7c0ce770b98e47402d600ef65fe51c1d639a7de3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://www.proquest.com/docview/1035122996?pq-origsite=primo$$EHTML$$P50$$Gproquest$$H</linktohtml><link.rule.ids>314,776,780,3536,27903,27904,64361,64363,64365,65309,72215</link.rule.ids><backlink>$$Uhttp://pascal-francis.inist.fr/vibad/index.php?action=getRecordDetail&idt=24181162$$DView record in Pascal Francis$$Hfree_for_read</backlink><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/21459384$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Shull, Pete B</creatorcontrib><creatorcontrib>Lurie, Kristen L</creatorcontrib><creatorcontrib>Cutkosky, Mark R</creatorcontrib><creatorcontrib>Besier, Thor F</creatorcontrib><title>Training multi-parameter gaits to reduce the knee adduction moment with data-driven models and haptic feedback</title><title>Journal of biomechanics</title><addtitle>J Biomech</addtitle><description>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.</description><subject>Adult</subject><subject>Biological and medical sciences</subject><subject>Biomechanical Phenomena</subject><subject>Diseases of the osteoarticular system</subject><subject>Equipment Design</subject><subject>Female</subject><subject>Gait</subject><subject>Gait retraining</subject><subject>Haptic</subject><subject>Humans</subject><subject>Knee - anatomy & histology</subject><subject>Knee adduction moment</subject><subject>Knee Joint - anatomy & histology</subject><subject>Knee Joint - physiology</subject><subject>Male</subject><subject>Medical sciences</subject><subject>Miscellaneous</subject><subject>Models, Anatomic</subject><subject>Osteoarthritis</subject><subject>Osteoarthritis, Knee</subject><subject>Physical Medicine and Rehabilitation</subject><subject>Radiotherapy. Instrumental treatment. Physiotherapy. Reeducation. Rehabilitation, orthophony, crenotherapy. 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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.</abstract><cop>Kidlington</cop><pub>Elsevier Ltd</pub><pmid>21459384</pmid><doi>10.1016/j.jbiomech.2011.03.016</doi><tpages>5</tpages></addata></record> |
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| subjects | Adult Biological and medical sciences Biomechanical Phenomena Diseases of the osteoarticular system Equipment Design Female Gait Gait retraining Haptic Humans Knee - anatomy & histology Knee adduction moment Knee Joint - anatomy & histology Knee Joint - physiology Male Medical sciences Miscellaneous Models, Anatomic Osteoarthritis Osteoarthritis, Knee Physical Medicine and Rehabilitation Radiotherapy. Instrumental treatment. Physiotherapy. Reeducation. Rehabilitation, orthophony, crenotherapy. Diet therapy and various other treatments (general aspects) Range of Motion, Articular Real-time feedback Walking |
| title | Training multi-parameter gaits to reduce the knee adduction moment with data-driven models and haptic feedback |
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