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Published in: Medical & Biological Engineering & Computing 12/2017

19-06-2017 | Original Article

A scaling method to individualise muscle force capacities in musculoskeletal models of the hand and wrist using isometric strength measurements

Authors: Benjamin Goislard de Monsabert, G. Rao, A. Gay, E. Berton, L. Vigouroux

Published in: Medical & Biological Engineering & Computing | Issue 12/2017

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Abstract

Because the force-generating capacities of muscles are currently estimated using anatomical data obtained from cadaver specimens, hand musculoskeletal models provide only a limited representation of the specific features of individual subjects. A scaling method is proposed to individualise muscle capacities using dynamometric measurements and electromyography. For each subject, a strength profile was first defined by measuring net moments during eight maximum isometric contractions about the wrist and metacarpophalangeal joints. The capacities of the five muscle groups were then determined by adjusting several parameters of an initial musculoskeletal model using an optimisation procedure which minimised the differences between measured moments and model estimates. Sixteen volunteers, including three particular participants (one climber, one boxer and one arthritic patient), were recruited. Compared with the initial literature-based model, the estimated subject-specific capacities were on average five times higher for the wrist muscles and twice as high for the finger muscles. The adjustments for particular subjects were consistent with their expected specific characteristics, e.g. high finger flexor capacities for the climber. Using the subject-specific capacities, the model estimates were markedly modified. The proposed protocol and scaling procedure can capture the specific characteristics of the participants and improved the representation of their capacities in the musculoskeletal model.

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Metadata
Title
A scaling method to individualise muscle force capacities in musculoskeletal models of the hand and wrist using isometric strength measurements
Authors
Benjamin Goislard de Monsabert
G. Rao
A. Gay
E. Berton
L. Vigouroux
Publication date
19-06-2017
Publisher
Springer Berlin Heidelberg
Published in
Medical & Biological Engineering & Computing / Issue 12/2017
Print ISSN: 0140-0118
Electronic ISSN: 1741-0444
DOI
https://doi.org/10.1007/s11517-017-1662-6

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