MATLAB Programming for Biomedical Engineers and Scientists

MATLAB Programming for Biomedical Engineers and Scientists provides an easy-to-learn introduction to the fundamentals of computer programming in MATLAB. This book explains the principles of good programming practice, while demonstrating how to write efficient and robust code that analyzes and visualizes biomedical data. Aimed at the biomedical engineer, biomedical scientist, and medical researcher with little or no computer programming experience, it is an excellent resource for learning the principles and practice of computer programming using MATLAB. This book enables the reader to: Analyze problems and apply structured design methods to produce elegant, efficient and well-structured program designsImplement a structured program design in MATLAB, making good use of incremental development approachesWrite code that makes good use of MATLAB programming features, including control structures, functions and advanced data typesWrite MATLAB code to read in medical data from files and write data to filesWrite MATLAB code that is efficient and robust to errors in input dataWrite MATLAB code to analyze and visualize medical data, including imaging data For a firsthand interview with the authors, please visit http://scitechconnect.elsevier.com/matlab-programming-biomedical-engineers-scientists/ To access student materials, please visit https://www.elsevier.com/books-and-journals/book-companion/9780128122037 To register and access instructor materials, please visit http://textbooks.elsevier.com/web/Manuals.aspx?isbn=9780128122037

Author Biography: Dr King received a BSc. (Hons) degree in Computer Science from Manchester University in 1989, an MSc. (with distinction) in Cognition, Computing and Psychology from Warwick University in 1992, and a PhD degree in Computer Science from Warwick University in 1997. He has been a postdoctoral researcher with the Computational Imaging Sciences Group and the Division of Imaging Sciences at King's College London, working mainly on registration, image-guided interventions and soft-tissue modelling. From 2001-2005 he worked as an Assistant Professor in the Computer Science department at Mekelle University in Northern Ethiopia. His research focuses on motion estimation and modelling. Dr Aljabar's research centres on developing algorithms for analysing medical images of the brain such as MR data. The main goal is to characterise salient features of the anatomy and the development or degeneration of the brain. He is interested in combining the established and fundamental tools of medical image processing, such as registration and anatomical segmentation, with machine learning methods in order to develop novel methodologies for group and longitudinal studies using MR data sets. In particular, he is keen on finding out how fundamental medical image processing methods may be informed by, as well as help create, population-level representations.

1. Introduction to Computer Programming and MatLab 2. Control Structures 3. Functions 4. Program Development and Testing 5. Data Types 6. File Input/Output 7. Program Design 8. Visualisation 9. Code Efficiency 10. Images and Image Processing 11. Developing Graphical User Interfaces