MATLAB Programming for Biomedical Engineers and Scientists

Dr King has over 20 years of experience of teaching computing courses at university level. He is currently a Reader in the Biomedical Engineering department at King's College London. With Paul Aljabar, he designed and developed the Computer Programming module for Biomedical Engineering students upon which this book was based. The module has been running since 2014 and Andrew still co-organises and teaches on it. Between 2001-2005, Andrew worked as an Assistant Professor in the Computer Science department at Mekelle University in Ethiopia, and was responsible for curriculum development, and design and delivery of a number of computing modules. Andrew's research interests focus mainly on the use of machine learning and artificial intelligence techniques to tackle problems in medical imaging, with a special focus on dynamic imaging data, i.e. moving organs (Google Scholar: https://goo.gl/ZZGrGr, group web site: http://kclmmag.org). Paul Aljabar is a mathematician who enjoys using computer programming to address health and biomedical problems. He taught high school mathematics in London for twelve years before taking up a research career. Since then, his work has focused on the analysis of large collections of medical images for a range of applications, for example in order to build anatomical atlases or distinguish normal from pathological physiology. As described above, Paul and Andrew developed this book and learning materials together while teaching Biomedical Engineering undergraduates. Paul has taught on a range of undergraduate and graduate programmes focusing on the analysis and interpretation of medical and biomedical data, carried out through modelling, programming, and the application of methods that are also used in his research (Google Scholar: https://goo.gl/jAgPru).

1. Introduction to Computer Programming and MATLAB 2. Basic Data Types 3. Control Structures 4. Functions 5. Program Development and Testing 6. Advanced Data Types 7. File Input/Output 8. Program Design 9. Visualization 10. Code Efficiency 11. Graphical User Interfaces 12. Signal and Image Processing 13. Statistics 14. Machine Learning 15. Engineering Mathematics