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Reducing the Complexity of Musculoskeletal Models Using Gaussian Process Emulators

التفاصيل البيبلوغرافية
العنوان: Reducing the Complexity of Musculoskeletal Models Using Gaussian Process Emulators
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
الوصف
تدمد:20763417
DOI:10.3390/app122412932