Model Validity Revised Manuscript no markup.pdf (428.11 kB)
The influence of model parameters on model validation
journal contributionposted on 2019-06-21, 10:54 authored 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.
- Sport, Exercise and Health Sciences
Published inComputer Methods in Biomechanics and Biomedical Engineering
CitationINFANTOLINO, 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
- AM (Accepted Manuscript)
Publisher statementThis 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.