The influence of model parameters on model validation

Benjamin W. Infantolino; Steph E. Forrester; Matthew T.G. Pain; John H. Challis

doi:10.1080/10255842.2019.1614173

The influence of model parameters on model validation

Benjamin W. Infantolino, Steph E. Forrester, Matthew T.G. Pain, John H. Challis

Research output: Contribution to journal › Article › peer-review

6 Scopus citations

Abstract

The study examined the sensitivity of two musculoskeletal models to the parameters describing each model. Two different models were examined: a phenomenological model of human jumping with parameters based on live subject data, and the second a model of the First Dorsal Interosseous with parameters based on cadaveric measurements. Both models were sensitive to the model parameters, with the use of mean group data not producing model outputs reflective of either the performance of any group member or the mean group performance. These results highlight the value of subject specific model parameters, and the problems associated with model validation.

Original language	English (US)
Pages (from-to)	997-1008
Number of pages	12
Journal	Computer Methods in Biomechanics and Biomedical Engineering
Volume	22
Issue number	12
DOIs	https://doi.org/10.1080/10255842.2019.1614173
State	Published - Sep 10 2019

All Science Journal Classification (ASJC) codes

Bioengineering
Biomedical Engineering
Human-Computer Interaction
Computer Science Applications

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10.1080/10255842.2019.1614173

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AU - Pain, Matthew T.G.

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The influence of model parameters on model validation

Abstract

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