Model Validity Revised Manuscript no markup.pdf (428.11 kB)
Download file

The influence of model parameters on model validation

Download (428.11 kB)
journal contribution
posted on 21.06.2019, 10:54 by Benjamin W. Infantolino, Steph ForresterSteph Forrester, Matthew PainMatthew Pain, John H. Challis
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.

History

School

  • Sport, Exercise and Health Sciences

Published in

Computer Methods in Biomechanics and Biomedical Engineering

Volume

22

Issue

12

Pages

997-1008

Citation

INFANTOLINO, B.W. ... et al, 2019. The influence of model parameters on model validation. Computer Methods in Biomechanics and Biomedical Engineering, 22 (12), pp.997-1008.

Publisher

© Taylor & Francis

Version

AM (Accepted Manuscript)

Publisher statement

This is an Accepted Manuscript of an article published by Taylor & Francis in Computer Methods in Biomechanics and Biomedical Engineering on 20 May 2019, available online: http://www.tandfonline.com/10.1080/10255842.2019.1614173.

Acceptance date

29/04/2019

Publication date

2019-05-20

Copyright date

2019

ISSN

1025-5842

eISSN

1476-8259

Language

en

Usage metrics

Exports