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Subject Specific Optimisation of the Stiffness of Footwear Material for Maximum Plantar Pressure Reduction

Overview of attention for article published in Annals of Biomedical Engineering, May 2017
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Title
Subject Specific Optimisation of the Stiffness of Footwear Material for Maximum Plantar Pressure Reduction
Published in
Annals of Biomedical Engineering, May 2017
DOI 10.1007/s10439-017-1826-4
Pubmed ID
Authors

Panagiotis E. Chatzistergos, Roozbeh Naemi, Aoife Healy, Peter Gerth, Nachiappan Chockalingam

Abstract

Current selection of cushioning materials for therapeutic footwear and orthoses is based on empirical and anecdotal evidence. The aim of this investigation is to assess the biomechanical properties of carefully selected cushioning materials and to establish the basis for patient-specific material optimisation. For this purpose, bespoke cushioning materials with qualitatively similar mechanical behaviour but different stiffness were produced. Healthy volunteers were asked to stand and walk on materials with varying stiffness and their capacity for pressure reduction was assessed. Mechanical testing using a surrogate heel model was employed to investigate the effect of loading on optimum stiffness. Results indicated that optimising the stiffness of cushioning materials improved pressure reduction during standing and walking by at least 16 and 19% respectively. Moreover, the optimum stiffness was strongly correlated to body mass (BM) and body mass index (BMI), with stiffer materials needed in the case of people with higher BM or BMI. Mechanical testing confirmed that optimum stiffness increases with the magnitude of compressive loading. For the first time, this study provides quantitative data to support the importance of stiffness optimisation in cushioning materials and sets the basis for methods to inform optimum material selection in the clinic.

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The data shown below were compiled from readership statistics for 139 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Japan 1 <1%
Unknown 138 99%

Demographic breakdown

Readers by professional status Count As %
Student > Master 25 18%
Student > Bachelor 19 14%
Researcher 14 10%
Student > Ph. D. Student 11 8%
Other 9 6%
Other 18 13%
Unknown 43 31%
Readers by discipline Count As %
Engineering 23 17%
Medicine and Dentistry 19 14%
Nursing and Health Professions 18 13%
Sports and Recreations 13 9%
Economics, Econometrics and Finance 3 2%
Other 12 9%
Unknown 51 37%