<p>The topic of this book is the modeling of data uncertainty and knowledge for a health engineering problem such as the biomechanics of the musculoskeletal system. This is the first book on this subject. It begins with the state of the art in related topics such as data uncertainty, knowledge model
Biomechanics of the musculoskeletal system: modeling of data uncertainty and knowledge
β Scribed by Dao, Tien Tuan;Tho, Marie-Christine Ho Ba
- Publisher
- ISTE Ltd
- Year
- 2014
- Tongue
- English
- Leaves
- 167
- Series
- Focus series (London England); Focus bioengineering and health science series
- Category
- Library
No coin nor oath required. For personal study only.
β¦ Synopsis
"The topic of this book is the modeling of data uncertainty and knowledge for a health engineering problem such as the biomechanics of the musculoskeletal system. This is the first book on this subject. It begins with the state of the art in related topics such as data uncertainty, knowledge modeling, and the biomechanics of the musculoskeletal system, followed by fundamental and theoretical aspects of this field. Clinically relevant applications of musculoskeletal system modeling are then introduced. The book finishes with a chapter on practical software and tools for knowledge modeling and reasoning purposes."--Pub. desc.
β¦ Table of 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.
β¦ Subjects
Biomechanical Phenomena;Models, Biological;Musculoskeletal System;Musculoskeletal system--Mechanical properties;Musculoskeletal system -- Mechanical properties
π SIMILAR VOLUMES
<p><span>The book involves the basic principles, methods, anatomy and other knowledge for modelling and simulation of the musculoskeletal system. In addition, abundant examples are presented in detail to help readers easily learn the principles and methods of modelling and simulation. These examples
Modelling is an important aspect of the design process for biomaterials and medical devices. By effectively modelling biomaterials and implants before their implantation, it is now possible to predict certain implant-tissue reactions, degradation and wear. Consequently, computational modelling is be
<p><i>Computational Modelling of Biomechanics and Biotribology in the Musculoskeletal System</i> reviews how a wide range of materials are modelled and how this modelling is applied. Computational modelling is increasingly important in the design and manufacture of biomedical materials, as it makes
<DIV><B>Publisherβs Note:</B>Β Β Products purchased from 3rd Party sellers are not guaranteed by the Publisher for quality, authenticity, or access to any online entitlements included with the product.<BR /><div><p>Now in its Fourth Edition, <B>Basic Biomechanics of the Musculoskeletal System</B><i>
Computational biomechanics is an emerging research field that seeks to understand the complex biomechanical behaviors of normal and pathological human joints to come up with new methods of orthopedic treatment and rehabilitation.Computational Biomechanics of the Musculoskeletal System collects the l