Literature DB >> 25059894

Development of dynamic models of the Mauch prosthetic knee for prospective gait simulation.

M S Chih-Hao Chien1, Ahmet Erdemir2, Antonie J van den Bogert3, William A Smith4.   

Abstract

Recent advances in computational modeling and simulation of human movement makes it possible to isolate and predict the potential contributions of a prosthetic device to the overall system performance. The Mauch S-N-S knee is one of the most widely used prosthetic knees in the market. The goal of this study is to develop dynamic models of the Mauch S-N-S knee for predictive simulation of a transfemoral amputee's gait under idealized conditions. Based on the functional description of the Mauch S-N-S prosthetic knee from the literature, a combined bench test and data fitting approach employing modified slow, normal, and fast gait patterns and nine combinations of stance and swing damping settings were performed. Two types of dynamic models, 2-phase and 4-phase models, of the Mauch S-N-S prosthetic knee were developed. The range of the coefficient of determination of the two dynamic models, when compared to the test data, was from 39.9 to 95%. Both dynamic models of this study can be utilized in musculoskeletal modeling studies, to better understand amputee gait and the contributions and interactions of various prosthetic leg components to the ambulatory performance.
Copyright © 2014 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Computational model; Mauch Knee; Prosthetic knee

Mesh:

Year:  2014        PMID: 25059894     DOI: 10.1016/j.jbiomech.2014.06.011

Source DB:  PubMed          Journal:  J Biomech        ISSN: 0021-9290            Impact factor:   2.712


  1 in total

1.  Knee Swing Phase Flexion Resistance Affects Several Key Features of Leg Swing Important to Safe Transfemoral Prosthetic Gait.

Authors:  Jenny A Kent; V N Murthy Arelekatti; Nina T Petelina; W Brett Johnson; John T Brinkmann; Amos G Winter; Matthew J Major
Journal:  IEEE Trans Neural Syst Rehabil Eng       Date:  2021-06-03       Impact factor: 3.802

  1 in total

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