An improved parameter estimation and comparison for soft tissue constitutive models containing an exponential function
- Submitting institution
-
University of Glasgow
- Unit of assessment
- 12 - Engineering
- Output identifier
- 12-05166
- Type
- D - Journal article
- DOI
-
10.1007/s10237-017-0889-3
- Title of journal
- Biomechanics and Modeling in Mechanobiology
- Article number
- -
- First page
- 1309
- Volume
- 16
- Issue
- 4
- ISSN
- 1617-7959
- Open access status
- Compliant
- Month of publication
- March
- Year of publication
- 2017
- URL
-
http://eprints.gla.ac.uk/169761/
- Supplementary information
-
-
- Request cross-referral to
- -
- Output has been delayed by COVID-19
- No
- COVID-19 affected output statement
- -
- Forensic science
- No
- Criminology
- No
- Interdisciplinary
- No
- Number of additional authors
-
0
- Research group(s)
-
-
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- This study addresses a well-known deficiency in parameter estimation for biomechanical models, which led to an invited talk at the British Applied Mathematics Colloquium 2018 (http://www.mcs.st-andrews.ac.uk/~bamc2018/BAMC2018_timetable.pdf). The work has resulted in a collaboration with the University of Texas, Austin to improve the efficiency of soft tissue simulations. The output underpinned the award of an EPSRC grant (EP/P018912/1) to aid clinical diagnosis and patient-stratification based upon biomechanical parameters.
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -
