Literature DB >> 20521187

Computational techniques for using insole pressure sensors to analyse three-dimensional joint kinetics.

Elizabeth S Chumanov1, C David Remy, Darryl G Thelen.   

Abstract

This study evaluated the feasibility of using insole pressure sensors together with whole body dynamics to analyse joint kinetics while running. Local affine transformations of shoe kinematics were first used to track the position of insole sensors during locomotion. Centre of pressure estimates derived from the insoles were within 10 mm of forceplate measures through much of stance, while vertical force estimates were within 15% of peak forceplate recordings. Insole data were then coupled with a least squares whole body dynamic model to obtain shear force estimates that were comparable to forceplate records during running. We demonstrated that these techniques provide a viable approach for analysing joint kinetics when running on uninstrumented surfaces.

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Year:  2010        PMID: 20521187      PMCID: PMC4589273          DOI: 10.1080/10255840903350148

Source DB:  PubMed          Journal:  Comput Methods Biomech Biomed Engin        ISSN: 1025-5842            Impact factor:   1.763


  28 in total

1.  A comparison of vertical force and temporal parameters produced by an in-shoe pressure measuring system and a force platform.

Authors:  S Barnett; J L Cunningham; S West
Journal:  Clin Biomech (Bristol, Avon)       Date:  2000-12       Impact factor: 2.063

2.  Reliability and running speed effects of in-shoe loading measurements during slow treadmill running.

Authors:  T W Kernozek; K A Zimmer
Journal:  Foot Ankle Int       Date:  2000-09       Impact factor: 2.827

3.  The Pedar in-shoe system: repeatability and normal pressure values.

Authors:  A B Putti; G P Arnold; L Cochrane; R J Abboud
Journal:  Gait Posture       Date:  2006-07-07       Impact factor: 2.840

4.  Inverse dynamics calculations during gait with restricted ground reaction force information from pressure insoles.

Authors:  A Forner-Cordero; H J F M Koopman; F C T van der Helm
Journal:  Gait Posture       Date:  2006-02       Impact factor: 2.840

Review 5.  Nonsurgical strategies for healing and preventing recurrence of diabetic foot ulcers.

Authors:  Peter R Cavanagh; Tammy M Owings
Journal:  Foot Ankle Clin       Date:  2006-12       Impact factor: 1.653

6.  A two-part, viscoelastic foot model for use in gait simulations.

Authors:  L A Gilchrist; D A Winter
Journal:  J Biomech       Date:  1996-06       Impact factor: 2.712

7.  The effects of knee brace hinge design and placement on joint mechanics.

Authors:  P S Walker; J S Rovick; D D Robertson
Journal:  J Biomech       Date:  1988       Impact factor: 2.712

8.  Direct dynamics simulation of the impact phase in heel-toe running.

Authors:  K G Gerritsen; A J van den Bogert; B M Nigg
Journal:  J Biomech       Date:  1995-06       Impact factor: 2.712

9.  Decomposition of superimposed ground reaction forces into left and right force profiles.

Authors:  B L Davis; P R Cavanagh
Journal:  J Biomech       Date:  1993 Apr-May       Impact factor: 2.712

10.  Reliability of F-scan in-shoe measurements of plantar pressure.

Authors:  J H Ahroni; E J Boyko; R Forsberg
Journal:  Foot Ankle Int       Date:  1998-10       Impact factor: 2.827

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  2 in total

1.  What Are Kinematic and Kinetic Differences between Short and Parallel Turn in Alpine Skiing?

Authors:  Ivan Bon; Mateja Očić; Vjekoslav Cigrovski; Tomislav Rupčić; Damir Knjaz
Journal:  Int J Environ Res Public Health       Date:  2021-03-16       Impact factor: 3.390

2.  Evaluation of two approaches for aligning data obtained from a motion capture system and an in-shoe pressure measurement system.

Authors:  Sunwook Kim; Maury A Nussbaum
Journal:  Sensors (Basel)       Date:  2014-09-12       Impact factor: 3.576

  2 in total

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