Tien Tua Dao, Marie-Christine Ho Ba Tho

Biomechanics of the Musculoskeletal System (eBook, ePUB)

Modeling of Data Uncertainty and Knowledge

• Format: ePub

Produktbeschreibung

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.

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Produktdetails

• Verlag: John Wiley & Sons
• Seitenzahl: 176
• Erscheinungstermin: 9. Mai 2014
• Englisch
• ISBN-13: 9781118931011
• Artikelnr.: 41004188

Autorenporträt

Dr. Tien Tuan DAO received the Engineer Diploma and the Master degree in Computer Science in 2005 at the University of Cantho in Vietnam and in 2006 at the University of Technology of Compiègne (UTC) in France respectively. After receiving the PhD degree in Biomechanics and Bioengineering in 2009 at UTC, he pursued his research activities as a postdoctoral fellow at the same university until 2011. From 2012, he is holding a CNRS research engineer position at the UMR CNRS 7338 Biomechanics and Bioengineering Laboratory at the UTC. His research interest relates to the modeling of human osteo-articular and musculoskeletal systems using biomechanics and knowledge-based engineering approaches. Marie Christine HO BA THO is Professor in Mechanics since 1998 at UTC (Université de Technologie de Compiègne) and currently Head of Biomechanics and Bioengineering Laboratory associated with CNRS (Centre National de Rercherches Scientifiques).

Inhaltsangabe

Preface ix Chapter 1 Biomechanics of the Musculoskeletal System 1 1.1
Biomechanics and its applications 1 1.2 Biomechanics of the musculoskeletal
system: current knowledge 5 1.3 Challenges and perspectives of rigid
multi-body musculoskeletal models 26 1.4 Summary 26 1.5 Bibliography 30
Chapter 2 Modeling of Biomechanical Data Uncertainty 37 2.1 Introduction of
biomechanical data and their uncertainties 37 2.2 Biomechanical data
uncertainty modeling 49 2.3 Biomechanical data uncertainty propagation 62
2.4 Conclusions and perspectives 69 2.5 Summary 70 2.6 Bibliography 71
Chapter 3 Knowledge Modeling in Biomechanics of the Musculoskeletal System
75 3.1 Knowledge modeling in Biomechanics 75 3.2 Knowledge representation
77 3.3 Knowledge reasoning 79 3.4 Conventional and advanced knowledge
discovery methods 80 3.5 CDS system 91 3.6 Conclusions 97 3.7 Summary 98
3.8 Bibliography 98 Chapter 4 Clinical Applications of Biomechanical and
Knowledge-Based Models 103 4.1 Patient-specific musculoskeletal model:
effect of the orthosis 103 4.2 Computational musculoskeletal ontological
model 117 4.3 Predictive models of the pathologies of the lower limbs 130
4.4 Conclusions 136 4.5 Summary 137 4.6 Bibliography 137 Chapter 5 Software
and Tools for Knowledge Modeling and Reasoning/Inference 143 5.1 Open
source and Commercial knowledge modeling software and tools 143 5.2
Protégé: ontology editor and knowledge-based framework 145 5.3 JESS:
reasoning and inference library 148 5.4 Conclusion 150 5.5 Summary 150 5.6
Bibliography 151 Index 153