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MATLAB Programming for Biomedical Engineers and Scientists

  • ID: 4081016
  • Book
  • June 2017
  • 324 Pages
  • Elsevier Science and Technology
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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 designs
  • Implement a structured program design in MATLAB, making good use of incremental development approaches
  • Write code that makes good use of MATLAB programming features, including control structures, functions and advanced data types
  • Write MATLAB code to read in medical data from files and write data to files
  • Write MATLAB code that is efficient and robust to errors in input data
  • Write MATLAB code to analyze and visualize medical data, including imaging data

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  • Many real world biomedical problems and data show the practical application of programming concepts
  • Two whole chapters dedicated to the practicalities of designing and implementing more complex programs
  • An accompanying website containing freely available data and source code for the practical code examples, activities, and exercises in the book
  • For instructors, there are extra teaching materials including a complete set of slides, notes for a course based on the book, and course work suggestions
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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

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King, Andrew
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.
Aljabar, Paul
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.
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