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      Knee joint biomechanics in transtibial amputees in gait, cycling, and elliptical training

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          Abstract

          Transtibial amputees may experience decreased quality of life due to increased risk of knee joint osteoarthritis (OA). No prior studies have compared knee joint biomechanics for the same group of transtibial amputees in gait, cycling, and elliptical training. Thus, the goal of this study was to identify preferred exercises for transtibial amputees in the context of reducing risk of knee OA. The hypotheses were: 1) knee biomechanics would differ due to participant status (amputee, control), exercise, and leg type (intact, residual) and 2) gait kinematic parameters would differ due to participant status and leg type. Ten unilateral transtibial amputee and ten control participants performed exercises while kinematic and kinetic data were collected. Two-factor repeated measures analysis of variance with post-hoc Tukey tests and non-parametric equivalents were performed to determine significance. Maximum knee compressive force, extension torque, and abduction torque were lowest in cycling and highest in gait regardless of participant type. Amputee maximum knee extension torque was higher in the intact vs. residual knee in gait. Amputee maximum knee flexion angle was higher in the residual vs. intact knee in gait and elliptical. Gait midstance knee flexion angle timing was asymmetrical for amputees and knee angle was lower in the amputee residual vs. control non-dominant knees. The results suggest that cycling, and likely other non-weight bearing exercises, may be preferred exercises for amputees due to significant reductions in biomechanical asymmetries and joint loads.

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          Most cited references58

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          Adjustments to Zatsiorsky-Seluyanov's segment inertia parameters.

          P. de Leva (1996)
          Zatsiorsky et al. (in Contemporary Problems in Biomechanics, pp. 272-291, CRC Press, Massachusetts, 1990a) obtained, by means of a gamma-ray scanning technique, the relative body segment masses, center of mass (CM) positions, and radii of gyration for samples of college-aged Caucasian males and females. Although these data are the only available and comprehensive set of inertial parameters regarding young adult Caucasians, they have been rarely utilized for biomechanical analyses of subjects belonging to the same or a similar population. The main reason is probably that Zatsiorsky et al. used bony landmarks as reference points for locating segment CMs and defining segment lengths. Some of these landmarks were markedly distant from the joint centers currently used by most researchers as reference points. The purpose of this study was to adjust the mean relative CM positions and radii of gyration reported by Zatsiorsky et al., in order to reference them to the joint centers or other commonly used landmarks, rather than the original landmarks. The adjustments were based on a number of carefully selected sources of anthropometric data.
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            Dynamic load at baseline can predict radiographic disease progression in medial compartment knee osteoarthritis.

            To test the hypothesis that dynamic load at baseline can predict radiographic disease progression in patients with medial compartment knee osteoarthritis (OA). During 1991-93 baseline data were collected by assessment of pain, radiography, and gait analysis in 106 patients referred to hospital with medial compartment knee OA. At the six year follow up, 74 patients were again examined to assess radiographic changes. Radiographic disease progression was defined as more than one grade narrowing of minimum joint space of the medial compartment. In the 32 patients showing disease progression, pain was more severe and adduction moment was higher at baseline than in those without disease progression (n=42). Joint space narrowing of the medial compartment during the six year period correlated significantly with the adduction moment at entry. Adduction moment correlated significantly with mechanical axis (varus alignment) and negatively with joint space width and pain score. Logistic regression analysis showed that the risk of progression of knee OA increased 6.46 times with a 1% increase in adduction moment. The results suggest that the baseline adduction moment of the knee, which reflects the dynamic load on the medial compartment, can predict radiographic OA progression at the six year follow up in patients with medial compartment knee OA.
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              Human movement analysis using stereophotogrammetry. Part 3. Soft tissue artifact assessment and compensation.

              When using optoelectronic stereophotogrammetry, skin deformation and displacement causes marker movement with respect to the underlying bone. This movement represents an artifact, which affects the estimation of the skeletal system kinematics, and is regarded as the most critical source of error in human movement analysis. A comprehensive review of the state-of-the-art for assessment, minimization and compensation of the soft tissue artifact (STA) is provided. It has been shown that STA is greater than the instrumental error associated with stereophotogrammetry, has a frequency content similar to the actual bone movement, is task dependent and not reproducible among subjects and, of lower limb segments, is greatest at the thigh. It has been shown that in in vivo experiments only motion about the flexion/extension axis of the hip, knees and ankles can be determined reliably. Motion about other axes at those joints should be regarded with much more caution as this artifact produces spurious effects with magnitudes comparable to the amount of motion actually occurring in those joints. Techniques designed to minimize the contribution of and compensate for the effects of this artifact can be divided up into those which model the skin surface and those which include joint motion constraints. Despite the numerous solutions proposed, the objective of reliable estimation of 3D skeletal system kinematics using skin markers has not yet been satisfactorily achieved and greatly limits the contribution of human movement analysis to clinical practice and biomechanical research. For STA to be compensated for effectively, it is here suggested that either its subject-specific pattern is assessed by ad hoc exercises or it is characterized from a large series of measurements on different subject populations. Alternatively, inclusion of joint constraints into a more general STA minimization approach may provide an acceptable solution.
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                Author and article information

                Contributors
                Role: Data curationRole: Formal analysisRole: InvestigationRole: Writing – original draft
                Role: ConceptualizationRole: MethodologyRole: Resources
                Role: ConceptualizationRole: Funding acquisitionRole: Project administrationRole: SupervisionRole: Writing – review & editing
                Role: ConceptualizationRole: Funding acquisitionRole: Project administrationRole: SupervisionRole: Writing – review & editing
                Role: Editor
                Journal
                PLoS One
                PLoS ONE
                plos
                plosone
                PLoS ONE
                Public Library of Science (San Francisco, CA USA )
                1932-6203
                12 December 2019
                2019
                : 14
                : 12
                : e0226060
                Affiliations
                [1 ] Mechanical Engineering Department, California Polytechnic State University, San Luis Obispo, CA, United States of America
                [2 ] Hanger Clinic, San Luis Obispo, CA, United States of America
                [3 ] Biomedical Engineering Department, California Polytechnic State University, San Luis Obispo, CA, United States of America
                Holland Bloorview Kids Rehabilitation Hospital, CANADA
                Author notes

                Competing Interests: A. Matt Robinson declares an author commercial affiliation to Hanger Clinic. Mr. Robinson is a licensed Hanger Clinic prosthetist and contributed to study design and implementation. This does not alter our adherence to PLOS ONE policies on sharing data and materials.

                Author information
                http://orcid.org/0000-0003-2459-2664
                Article
                PONE-D-19-05836
                10.1371/journal.pone.0226060
                6907759
                31830082
                2286bd94-28fd-4d95-b952-b820d7100c32
                © 2019 Orekhov et al

                This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

                History
                : 27 February 2019
                : 19 November 2019
                Page count
                Figures: 9, Tables: 2, Pages: 16
                Funding
                The U.S. Army Medical Research Acquisition Activity, 820 Chandler Street, Fort Detrick MD 21702-5014 is the awarding and administering acquisition office. This work was supported by the Defense Health Program, through the Department of Defense Broad Agency Announcement for Extramural Medical Research Program Number W81XWH-BAA-14-1 under award no. W81XWH-16-1-0051 (SK) and by the Donald E. Bentley Center ( https://me.calpoly.edu/bently-center) (SK). Opinions, interpretations, conclusions and recommendations are those of the author and are not necessarily endorsed by the Department of Defense. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.
                Categories
                Research Article
                Biology and Life Sciences
                Anatomy
                Musculoskeletal System
                Body Limbs
                Legs
                Knees
                Medicine and Health Sciences
                Anatomy
                Musculoskeletal System
                Body Limbs
                Legs
                Knees
                Biology and Life Sciences
                Anatomy
                Musculoskeletal System
                Skeletal Joints
                Knee Joints
                Medicine and Health Sciences
                Anatomy
                Musculoskeletal System
                Skeletal Joints
                Knee Joints
                Biology and Life Sciences
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                Musculoskeletal System
                Body Limbs
                Legs
                Medicine and Health Sciences
                Anatomy
                Musculoskeletal System
                Body Limbs
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                Custom metadata
                All data underlying the findings are available from the FigShare database (URL: https://figshare.com/s/51a35f4f6bf57feca059).

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