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MATLAB Programming for Biomedical Engineers and Scientists

1st Edition - June 14, 2017

Authors: Andrew P. King, Paul Aljabar

Paperback ISBN:

9 7 8 - 0 - 1 2 - 8 1 2 2 0 3 - 7

eBook ISBN:

9 7 8 - 0 - 1 2 - 8 1 3 5 1 0 - 5

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… Read more

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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

1. Introduction to Computer Programming and MatLab

Introduction

The MatLab Environment

Help

Variables, Arrays and Simple Operations

Data Types

Loading and Saving Data

Visualising Data

Matrices

MatLab Scripts

Comments

Debugging

Summary

Assessment Exercises

Control Structures

Introduction

if Statements

Comparison/Logical Operators

switch Statements

for Loops

while Loops

break and continue

Nesting Control Structures

Summary

Assessment Exercises

Functions

Introduction

Functions

Checking for Errors

Function m-files and script m-files

M-files and the MatLab Search Path

Naming Rules

Scope of Variables

Recursion: A function calling itself

Summary

Assessment Exercises

Program Development and Testing

Introduction

Incremental Development

Are we Finished? Validating User Input

Debugging a Function

Common Reasons for Errors when Running a Script or a Function

Error Handling

Summary

Assessment Exercises

Data Types

Introduction

Numeric Types

Characters and Strings

Identifying the Type of a Variable

The Boolean Data Type

Matrices

Cell Arrays

Converting Between Types

Advanced Data Types

Summary

Assessment Exercises

File Input/Output

Introduction

Recap on Basic Input/Output Functions

Simple Functions for Dealing with Text Files

Reading from Files

Writing to Files

Summary

Assessment Exercises

Program Design

Introduction

Top-Down Design

Incremental Development and Test Stubs

Bottom-Up Design

A Combined Approach

Summary

Assessment Exercises

Visualisation

Introduction

Visualisation

Visualising Multiple Datasets

3-D Plotting

The meshgrid Command

Imaging Data

Summary

Assessment Exercises

Code Efficiency

Introduction

Time and Memory Efficiency

Tips for Improving Time Efficiency

Recursive and Dynamic Programming

Dynamic Programming to Improve Performance

Summary

Assessment Exercises

Images and Image Processing

Introduction

Images on a Computer

Accessing Images in MatLab

Image Processing

Summary

Assessment Exercises

Developing Graphical User Interfaces

Building a GUI with the Guide Tool

Controlling Components: Callback Functions and Events

Maintaining State

Summary

Assessment Exercises

Andrew P. King

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).

Affiliations and expertise

Reader in Medical Image Analysis, School of Biomedical Engineering and Imaging Science, King's College London.

Paul Aljabar

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).

Affiliations and expertise

Head of Imaging Science, Perspectum Ltd.