Use of three-dimensional digital image correlation to evaluate mechanical response of prosthetic systems.
Autor: | Alvarez-Camacho M; 1 Instituto Nacional de Rehabilitación Luis Guillermo Ibarra Ibarra, Mexico City, Mexico., Alvarez-Guevara V; 2 Instituto de Investigaciones en Materiales, Universidad Nacional Autónoma de México, México., Galvan Duque Gastelum C; 1 Instituto Nacional de Rehabilitación Luis Guillermo Ibarra Ibarra, Mexico City, Mexico., Flores Vazquez D; 2 Instituto de Investigaciones en Materiales, Universidad Nacional Autónoma de México, México., Rodriguez-Reyes G; 1 Instituto Nacional de Rehabilitación Luis Guillermo Ibarra Ibarra, Mexico City, Mexico., Sanchez-Arevalo FM; 2 Instituto de Investigaciones en Materiales, Universidad Nacional Autónoma de México, México. |
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Jazyk: | angličtina |
Zdroj: | Prosthetics and orthotics international [Prosthet Orthot Int] 2017 Feb; Vol. 41 (1), pp. 101-105. Date of Electronic Publication: 2016 Jul 10. |
DOI: | 10.1177/0309364616637956 |
Abstrakt: | Background and Aim: The need of comfortable and safe prosthetic systems is an important challenge for both prosthetists and engineers. The aim of this technical note is to demonstrate the use of three-dimensional digital image correlation to evaluate mechanical response of two prosthetic systems under real patient dynamic loads. Technique: This note describes the use of three-dimensional digital image correlation method to obtain full-field strain and displacement measurements on the surface of two lower limb prostheses for Chopart amputation. It outlines key points of the measurement protocol and illustrates the analysis of critical regions using data obtained on specific points of interest. Discussion: The results show that the use of three-dimensional digital image correlation can be a tool for the prosthetist to optimize the prosthesis considering features related to the material and design, in order to bear with real patient-specific load conditions. Clinical relevance Three-dimensional digital image correlation can support decision-making on new designs and materials for prosthetics based on quantitative data. Better understanding of mechanical response could also assist prescription for appropriate prosthetic systems. |
Databáze: | MEDLINE |
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