ECU Libraries Catalog

Biomechanics of the musculoskeletal system : modeling of data uncertainty and knowledge / Tien Tua Dao, Marie-Christine Ho Ba Tho.

Author/creator Dao, Tien Tuan
Other author/creatorTho, Marie-Christine Ho Ba.
Format Electronic and Book
Publication InfoLondon : ISTE ; Hoboken, NJ : Wiley, 2014.
Descriptionx, 155 pages : illustrations ; 24 cm.
Supplemental Content Full text available from Ebook Central - Academic Complete
Subject(s)
Series Focus series, 2051-2481
Focus series (London, England) 2051-2481 ^A1252546
Contents Machine generated contents note: ch. 1 Biomechanics of the Musculoskeletal System -- 1.1. Biomechanics and its applications -- 1.1.1. Introduction -- 1.1.2. Applications in biomechanics -- 1.2. Biomechanics of the musculoskeletal system: current knowledge -- 1.2.1. Introduction -- 1.2.2. Rigid multi-body musculoskeletal modeling -- 1.3. Challenges and perspectives of rigid multi-body musculoskeletal models -- 1.4. Summary -- 1.5. Bibliography -- ch. 2 Modeling of Biomechanics Data Uncertainty -- 2.1. Introduction of biomechanics! data and their uncertainties -- 2.1.1. Biomechanical data -- 2.1.2. Measuring chains of biomechanical data -- 2.1.3. Data uncertainty -- 2.1.4. Biomechanical data uncertainty types and sources -- 2.2. Biomechanical data uncertainty modeling -- 2.2.1. Uncertainty representation -- 2.2.2. Uncertainty modeling -- 2.3. Biomechanical data uncertainty propagation -- 2.3.1. Forward and backward uncertainty propagation -- 2.3.2. Independent and dependent parameters -- 2.3.3. Monte Carlo simulation -- 2.3.4. Copula-based Monte Carlo simulation -- 2.3.5. Example of uncertainty propagation through a physical law -- 2.4. Conclusions and perspectives -- 2.5. Summary -- 2.6. Bibliography -- ch. 3 Knowledge Modeling in Biomechanics of the Musculoskeletal System -- 3.1. Knowledge modeling in Biomechanics -- 3.1.1. Introduction -- 3.1.2. Clinical benefits -- 3.2. Knowledge representation -- 3.2.1. Web Ontology Language -- 3.2.2. Production rule -- 3.3. Knowledge reasoning -- 3.3.1. Forward chaining -- 3.3.2. Backward chaining -- 3.4. Conventional and advanced knowledge discovery methods -- 3.4.1. Knowledge discovery in databases -- 3.4.2. Decision tree and belief decision tree -- 3.4.3. Artificial neural network -- 3.4.4. Support vector machine -- 3.5. CDS system -- 3.5.1. Expert system -- 3.5.2. Knowledge-based system -- 3.5.3. System of systems -- 3.6. Conclusions -- 3.7. Summary -- 3.8. Bibliography -- ch. 4 Clinical Applications of Biomechanical and Knowledge-based Models -- 4.1. Patient-specific musculoskeletal model: effect of the orthosis -- 4.1.1. Introduction -- 4.1.2. Materials and methods -- 4.1.3. Results -- 4.1.4. Discussion -- 4.2. Computational musculoskeletal ontological model -- 4.2.1. Introduction -- 4.2.2. Materials and methods -- 4.2.3. Results -- 4.2.4. Discussion -- 4.3. Predictive models of the pathologies of the lower limbs -- 4.3.1. Introduction -- 4.3.2. Materials and methods -- 4.3.3. Results -- 4.3.4. Discussion -- 4.4. Conclusions -- 4.5. Summary -- 4.6. Bibliography -- ch. 5 Software and Tools for Knowledge Modeling and Reasoning/Inference -- 5.1. Open source and commercial knowledge modeling software and tools -- 5.1.1. Open source -- 5.1.2. List of open source software and tools for knowledge modeling -- 5.1.3. List of commercial software and tools for knowledge modeling -- 5.2. Protege: ontology editor and knowledge-based framework -- 5.2.1. Introduction -- 5.2.2. Ontology development methodology -- 5.2.3. Bio-ontology example -- 5.3. JESS: reasoning and inference library -- 5.3.1. Introduction -- 5.3.2. Development process of a rule engine -- 5.3.3. Example -- 5.4. Conclusion -- 5.5. Summary -- 5.6. Bibliography.
Bibliography noteIncludes bibliographical references and index.
Access restrictionAvailable only to authorized users.
Technical detailsMode of access: World Wide Web
Genre/formElectronic books.
LCCN 2014934406
ISBN9781848216020 (hbk.)
ISBN1848216025 (hbk.)

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