The effect of scaling physiological cross-sectional area on musculoskeletal model predictions

B. bolsterlee, A. Vardy, F.C.T. van der Helm, H.E.J. Veeger

Research output: Contribution to Journal › Article › Academic › peer-review

Abstract

Personalisation of model parameters is likely to improve biomechanical model predictions and could allow models to be used for subject- or patient-specific applications. This study evaluates the effect of personalising physiological cross-sectional areas (PCSA) in a large-scale musculoskeletal model of the upper extremity. Muscle volumes obtained from MRI were used to scale PCSAs of five subjects, for whom the maximum forces they could exert in six different directions on a handle held by the hand were also recorded. The effect of PCSA scaling was evaluated by calculating the lowest maximum muscle stress (σ
Original languageEnglish
JournalJournal of Biomechanics
Issue number5
DOIs
Publication statusPublished - 2015

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Muscles
Upper Extremity
Muscle
Hand
Magnetic resonance imaging
Direction compound

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bolsterlee, B. ; Vardy, A. ; van der Helm, F.C.T. ; Veeger, H.E.J. / The effect of scaling physiological cross-sectional area on musculoskeletal model predictions. In: Journal of Biomechanics. 2015 ; No. 5.
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author = "B. bolsterlee and A. Vardy and {van der Helm}, F.C.T. and H.E.J. Veeger",
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bolsterlee, B, Vardy, A, van der Helm, FCT & Veeger, HEJ 2015, 'The effect of scaling physiological cross-sectional area on musculoskeletal model predictions' Journal of Biomechanics, no. 5. https://doi.org/10.1016/j.jbiomech.2015.05.005

The effect of scaling physiological cross-sectional area on musculoskeletal model predictions. / bolsterlee, B.; Vardy, A.; van der Helm, F.C.T.; Veeger, H.E.J.

In: Journal of Biomechanics, No. 5, 2015.

Research output: Contribution to Journal › Article › Academic › peer-review

TY - JOUR

T1 - The effect of scaling physiological cross-sectional area on musculoskeletal model predictions

AU - bolsterlee, B.

AU - Vardy, A.

AU - van der Helm, F.C.T.

AU - Veeger, H.E.J.

PY - 2015

Y1 - 2015

N2 - Personalisation of model parameters is likely to improve biomechanical model predictions and could allow models to be used for subject- or patient-specific applications. This study evaluates the effect of personalising physiological cross-sectional areas (PCSA) in a large-scale musculoskeletal model of the upper extremity. Muscle volumes obtained from MRI were used to scale PCSAs of five subjects, for whom the maximum forces they could exert in six different directions on a handle held by the hand were also recorded. The effect of PCSA scaling was evaluated by calculating the lowest maximum muscle stress (σ

AB - Personalisation of model parameters is likely to improve biomechanical model predictions and could allow models to be used for subject- or patient-specific applications. This study evaluates the effect of personalising physiological cross-sectional areas (PCSA) in a large-scale musculoskeletal model of the upper extremity. Muscle volumes obtained from MRI were used to scale PCSAs of five subjects, for whom the maximum forces they could exert in six different directions on a handle held by the hand were also recorded. The effect of PCSA scaling was evaluated by calculating the lowest maximum muscle stress (σ

U2 - 10.1016/j.jbiomech.2015.05.005

DO - 10.1016/j.jbiomech.2015.05.005

M3 - Article

JO - Journal of Biomechanics

JF - Journal of Biomechanics

SN - 0021-9290

IS - 5

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bolsterlee B, Vardy A, van der Helm FCT, Veeger HEJ. The effect of scaling physiological cross-sectional area on musculoskeletal model predictions. Journal of Biomechanics. 2015;(5). https://doi.org/10.1016/j.jbiomech.2015.05.005

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