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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.
List of contents
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
About the author
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).
Summary
A pioneer in this subject, Biomechanics of the Musculoskeletal System addresses techniques and purposes for modeling uncertainty in health engineering problems. The book focuses on data uncertainty, knowledge modeling, and theories surrounding the biomechanics of the musculoskeletal system.
