Literature DB >> 11415817

A dynamic cadaver model of the stance phase of gait: performance characteristics and kinetic validation.

Neil A. Sharkey1, Andrew J. Hamel.   

Abstract

OBJECTIVE: This study was undertaken to evaluate the performance of a new dynamic laboratory model of the stance phase of gait.
DESIGN: Five cadaver feet were repetitively tested in the apparatus.
BACKGROUND: Typical biomechanical investigations of cadaver feet simply place a static load on the tibia. The present system was designed to better simulate the changing in-vivo loading environment of the foot and ankle during gait.
METHODS: The device mimics the behavior of the tibia, foot, and ankle from heel-strike to toe-off by reproducing the physiologic actions of five extrinsic foot muscles and physiologic motion at the proximal tibia. To verify its utility, cadaver gait simulations were conducted while measuring applied muscle forces, ground reaction forces, and plantar pressures.
RESULTS: Dynamic muscle forces were consistently delivered to within 10% of pre-programmed values. Dynamic measurements of ground reaction forces and plantar pressure were similar to those measured in healthy human subjects. Peak vertical (y), foreaft (x) and medio-lateral (z) forces were 110, 18, and 4% of body weight respectively. Compressive force in the tibial shaft reached 410% of body weight. RELEVANCE: Cadaver studies have greatly enhanced our understanding of normal and pathologic foot function, but are often limited by over-simplified loading conditions. The apparatus presented here accurately reproduces the in-vivo loading environment and provides a powerful investigational tool for the study of foot and ankle function. With this device, musculoskeletal structures can be examined in detail under biomechanical conditions similar to those they experience in life.

Entities:  

Year:  1998        PMID: 11415817     DOI: 10.1016/s0268-0033(98)00003-5

Source DB:  PubMed          Journal:  Clin Biomech (Bristol, Avon)        ISSN: 0268-0033            Impact factor:   2.063


  14 in total

1.  Posterior tibial tendon dysfunction and flatfoot: analysis with simulated walking.

Authors:  Kota Watanabe; Harold B Kitaoka; Tadashi Fujii; Xavier Crevoisier; Lawrence J Berglund; Kristin D Zhao; Kenton R Kaufman; Kai-Nan An
Journal:  Gait Posture       Date:  2012-08-29       Impact factor: 2.840

2.  Impact of First Metatarsal Hyperpronation on First Ray Alignment: A Study in Cadavers.

Authors:  Matthieu Lalevée; Kevin Dibbern; Nacime Salomao Barbachan Mansur; Jennifer Walt; Hee Young Lee; Jean-Yves Coillard; Charles L Saltzman; Cesar de Cesar Netto
Journal:  Clin Orthop Relat Res       Date:  2022-06-07       Impact factor: 4.755

3.  Segmental motion of forefoot and hindfoot as a diagnostic tool.

Authors:  Nori Okita; Steven A Meyers; John H Challis; Neil A Sharkey
Journal:  J Biomech       Date:  2013-09-07       Impact factor: 2.712

4.  Vertical Loading Rate Is Not Associated with Running Injury, Regardless of Calculation Method.

Authors:  Elizabeth A Schmida; Christa M Wille; Mikel R Stiffler-Joachim; Stephanie A Kliethermes; Bryan C Heiderscheit
Journal:  Med Sci Sports Exerc       Date:  2022-03-22

5.  The effects of wrist motion and hand orientation on muscle forces: A physiologic wrist simulator study.

Authors:  Darshan S Shah; Claire Middleton; Sabahat Gurdezi; Maxim D Horwitz; Angela E Kedgley
Journal:  J Biomech       Date:  2017-06-21       Impact factor: 2.712

6.  The influence of muscle pennation angle and cross-sectional area on contact forces in the ankle joint.

Authors:  Ran S Sopher; Andrew A Amis; D Ceri Davies; Jonathan Rt Jeffers
Journal:  J Strain Anal Eng Des       Date:  2016-09-22       Impact factor: 1.541

7.  Fiber optic micro sensor for the measurement of tendon forces.

Authors:  Gregory P Behrmann; Joseph Hidler; Mark S Mirotznik
Journal:  Biomed Eng Online       Date:  2012-10-03       Impact factor: 2.819

8.  Lessons from dynamic cadaver and invasive bone pin studies: do we know how the foot really moves during gait?

Authors:  Christopher J Nester
Journal:  J Foot Ankle Res       Date:  2009-05-27       Impact factor: 2.303

9.  Development of a Robotic Assembly for Analyzing the Instantaneous Axis of Rotation of the Foot Ankle Complex.

Authors:  Kelly N Salb; Daniel M Wido; Thomas E Stewart; Denis J DiAngelo
Journal:  Appl Bionics Biomech       Date:  2016-03-23       Impact factor: 1.781

10.  Control of a wrist joint motion simulator: A phantom study.

Authors:  Darshan S Shah; Angela E Kedgley
Journal:  J Biomech       Date:  2016-07-12       Impact factor: 2.712

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