Numerical Modeling in Biomedical Engineering brings together the integrative set of computational problem solving tools important to biomedical engineers. Through the use of comprehensive homework exercises, relevant examples and extensive case studies, this book integrates principles and techniques of numerical analysis. Covering biomechanical phenomena and physiologic, cell and molecular systems, this is an essential tool for students and all those studying biomedical transport, biomedical thermodynamics & kinetics and biomechanics. - Supported by Whitaker Foundation Teaching Materials Program; ABET-oriented pedagogical layout - Extensive hands-on homework exercises
Autorentext
Dr. Dunn joined Rensselaer Polytechnic Institute in 2008 as Vice Provost and Dean of Graduate Education and full Professor in the School of Engineering. Dunn's experience includes developing university-wide initiatives in such areas as packaging engineering, water resource management, and homeland security. He also has extensive experience building academic programs, including overseeing the country's first engineering-based clinical training program in prosthetics and orthotics. Dunn has mentored 14 Ph.D. students, 23 M.S. students, and many undergraduate students. These students have come from biomedical engineering, electrical and computer engineering, computer science, mathematics, dentistry, as well as the M.D./Ph.D. program. The author of three books and 150 papers on different subjects including digital subtraction radiography, Dunn is a fellow of the American Institute of Medical and Biological Engineering. He is the founding editor-in-chief of the Journal of Applied Packaging Research and has served as an editor and officer of several journals and professional organizations.
Inhalt
Chapter 1: Modeling Biosystems
Chapter 2: Introduction to Computing
Chapter 3: Concepts of Numerical Analysis
Chapter 4: Linear Models of Biological Systems
Chapter 5: Nonlinear Equations in Biomedical Engineering
Chapter 6: Finite Difference Methods, Interpolation and Integration
Chapter 7: Dynamic Systems: Ordinary Differential Equations
Chapter 8: Dynamic Systems: Partial Differential Equations
Chapter 9: Measurements, Models and Statistics
Chapter 10: Modeling Biosystems
Appendix A: Introduction to MATLAB
Appendix B: Introduction to Simulink
Appendix C: Review of Linear Algebra and Related MATLAB Commands
Appendix D: Analytical Solutions of Differential Equations
Appendix E: Numerical Stability and Other Topics
Index