دورية أكاديمية
Reducing the Complexity of Musculoskeletal Models Using Gaussian Process Emulators
العنوان: | Reducing the Complexity of Musculoskeletal Models Using Gaussian Process Emulators |
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المؤلفون: | Ivan Benemerito, Erica Montefiori, Alberto Marzo, Claudia Mazzà |
المصدر: | Applied Sciences, Vol 12, Iss 24, p 12932 (2022) |
بيانات النشر: | MDPI AG, 2022. |
سنة النشر: | 2022 |
المجموعة: | LCC:Technology LCC:Engineering (General). Civil engineering (General) LCC:Biology (General) LCC:Physics LCC:Chemistry |
مصطلحات موضوعية: | statistical modelling, statistical emulators, sensitivity analysis, Gaussian Process, Sobol, musculoskeletal model, Technology, Engineering (General). Civil engineering (General), TA1-2040, Biology (General), QH301-705.5, Physics, QC1-999, Chemistry, QD1-999 |
الوصف: | Musculoskeletal models (MSKMs) are used to estimate the muscle and joint forces involved in human locomotion, often associated with the onset of degenerative musculoskeletal pathologies (e.g., osteoarthritis). Subject-specific MSKMs offer more accurate predictions than their scaled-generic counterparts. This accuracy is achieved through time-consuming personalisation of models and manual tuning procedures that suffer from potential repeatability errors, hence limiting the wider application of this modelling approach. In this work we have developed a methodology relying on Sobol’s sensitivity analysis (SSA) for ranking muscles based on their importance to the determination of the joint contact forces (JCFs) in a cohort of older women. The thousands of data points required for SSA are generated using Gaussian Process emulators, a Bayesian technique to infer the input–output relationship between nonlinear models from a limited number of observations. Results show that there is a pool of muscles whose personalisation has little effects on the predictions of JCFs, allowing for a reduced but still accurate representation of the musculoskeletal system within shorter timeframes. Furthermore, joint forces in subject-specific and generic models are influenced by different sets of muscles, suggesting the existence of a model-specific component to the sensitivity analysis. |
نوع الوثيقة: | article |
وصف الملف: | electronic resource |
اللغة: | English |
تدمد: | 2076-3417 |
Relation: | https://www.mdpi.com/2076-3417/12/24/12932; https://doaj.org/toc/2076-3417 |
DOI: | 10.3390/app122412932 |
URL الوصول: | https://doaj.org/article/cf7a691b040643bdaa1c4b16d20af93b |
رقم الأكسشن: | edsdoj.f7a691b040643bdaa1c4b16d20af93b |
قاعدة البيانات: | Directory of Open Access Journals |
تدمد: | 20763417 |
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DOI: | 10.3390/app122412932 |