Biomechanics of the Musculoskeletal System : Modeling of Data Uncertainty and Knowledge

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.