Literature DB >> 16813451

In vitro assessment of a motion-based optimization method for locating the talocrural and subtalar joint axes.

Gregory S Lewis1, H J Sommer, Stephen J Piazza.   

Abstract

The locations of the joint axes of the ankle complex vary considerably between subjects, yet no noninvasive method with demonstrated accuracy exists for locating these axes. The moments of muscle and ground reaction forces about the joint axes are dependent on axis locations, making knowledge of these locations critical to accurate musculoskeletal modeling of the foot and ankle. The accuracy of a computational optimization method that fits a two-revolute model to measured motion was assessed using computer-generated data, a two-revolute mechanical linkage, and three lower-leg cadaver specimens. Motions were applied to cadaver specimens under axial load while bone-mounted markers attached to the tibia, talus, and calcaneus were tracked using a video-based motion analysis system. Estimates of the talocrural and subtalar axis locations were computed from motions of the calcaneus relative to the tibia using the optimization method. These axes were compared to mean helical axes computed directly from tibia, talus, and calcaneus motions. The optimization method performed well when the motions were computer-generated or measured in the mechanical linkage, with angular differences between optimization and mean helical axes ranging from 1 deg to 5 deg. In the cadaver specimens, however, these differences exceeded 20 deg. Optimization methods that locate the anatomical joint axes of the ankle complex by fitting two revolute joints to measured tibia-calcaneus motions may be limited because of problems arising from non-revolute behavior.

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Year:  2006        PMID: 16813451     DOI: 10.1115/1.2205866

Source DB:  PubMed          Journal:  J Biomech Eng        ISSN: 0148-0731            Impact factor:   2.097


  6 in total

1.  Subject-Specific Axes of Rotation Based on Talar Morphology Do Not Improve Predictions of Tibiotalar and Subtalar Joint Kinematics.

Authors:  Jennifer A Nichols; Koren E Roach; Niccolo M Fiorentino; Andrew E Anderson
Journal:  Ann Biomed Eng       Date:  2017-06-21       Impact factor: 3.934

2.  Predicting tibiotalar and subtalar joint angles from skin-marker data with dual-fluoroscopy as a reference standard.

Authors:  Jennifer A Nichols; Koren E Roach; Niccolo M Fiorentino; Andrew E Anderson
Journal:  Gait Posture       Date:  2016-06-24       Impact factor: 2.840

3.  Decoupling the Wrist: A Cadaveric Experiment Examining Wrist Kinematics Following Midcarpal Fusion and Scaphoid Excision.

Authors:  Jennifer A Nichols; Michael S Bednar; Robert M Havey; Wendy M Murray
Journal:  J Appl Biomech       Date:  2016-10-05       Impact factor: 1.833

4.  Design of Optimal Treatments for Neuromusculoskeletal Disorders using Patient-Specific Multibody Dynamic Models.

Authors:  Benjamin J Fregly
Journal:  Int J Comput Vis Biomech       Date:  2009-07-01

5.  A Planar Model of an Ankle Joint with Optimized Material Parameters and Hertzian Contact Pairs.

Authors:  Aleksandra Borucka; Adam Ciszkiewicz
Journal:  Materials (Basel)       Date:  2019-08-17       Impact factor: 3.623

6.  Human ankle joint movements during walking are probably not determined by talar morphology.

Authors:  Peter Wolf; Roman Moor; Arne Lundberg; Christopher Nester; Anton Arndt; Eveline Graf
Journal:  Sci Rep       Date:  2022-08-16       Impact factor: 4.996

  6 in total

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