MATLAB Programming for Biomedical Engineers and Scientists

✍ Scribed by Andrew P. King, Paul Aljabar

• Publisher: Academic Press
• Year: 2017
• Tongue: English
• Leaves: 306
• Category: Library

✦ Synopsis

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

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

• 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

✦ Table of Contents

Cover
MATLAB Programming for Biomedical Engineers and Scientists
Copyright
Dedication
About the Authors
Preface
Aims and Motivation
Learning Objectives
How to Use This Book
Acknowledgments
1 Introduction to Computer Programming and MATLAB
1.1 Introduction
1.1.1 Computer Programming
1.1.2 MATLAB
1.2 The MATLAB Environment
1.3 Help
1.4 Variables, Arrays and Simple Operations
1.5 Data Types
1.6 Loading and Saving Data
1.7 Visualizing Data
1.8 Curve Fitting
1.9 Matrices
1.10 MATLAB Scripts
1.11 Comments
1.12 Debugging
1.12.1 MATLAB Debugger
1.12.2 MATLAB Code Analyzer
1.13 Summary
1.14 Further Resources
Exercises
2 Control Structures
2.1 Introduction
2.2 Conditional if Statements
2.3 Comparison/Logical Operators
2.4 Conditional switch Statements
2.5 Iteration: for Loops
2.6 Iteration: while Loops
2.7 A Note about Efficiency
2.8 break and continue
2.9 Nesting Control Structures
2.10 Summary
2.11 Further Resources
Exercises
3 Functions
3.1 Introduction
3.2 Functions
3.3 Checking for Errors
3.4 Function m-Files and Script m-Files
3.5 A Function m-File Can Contain More than One Function
3.6 A Script m-File Cannot Also Include Functions
3.7 m-Files and the MATLAB Search Path
3.8 Naming Rules
3.9 Scope of Variables
Be Careful About Script m-Files and Scope
3.10 Recursion: A Function Calling Itself
3.11 Summary
3.12 Further Resources
Exercises
4 Program Development and Testing
4.1 Introduction
4.2 Incremental Development
4.3 Are We Finished? Validating User Input
4.4 Debugging a Function
4.5 Common Reasons for Errors when Running a Script or a Function
4.6 Error Handling
4.6.1 The error and warning Functions
4.6.2 The try and catch Method
4.7 Summary
4.8 Further Resources
Exercises
5 Data Types
5.1 Introduction
5.2 Numeric Types
5.2.1 Precision for Non-Integer
5.2.2 MATLAB Defaults to Double Precision for Numbers
5.2.3 How Does MATLAB Display Numeric Values by Default?
5.2.4 Take Care when Working with Numeric Types Other than Doubles
5.2.5 Ranges of Numeric Types
5.3 Infinity and NaN
5.4 Characters and Strings
5.5 Identifying the Type of a Variable
5.6 The Boolean Data Type
5.7 Cells and Cell Arrays
5.7.1 Cell Arrays Can Contain Mixed Data Types
5.7.2 The Different Kinds of Bracket: Recap
5.8 Converting Between Types
5.8.1 Converting Between a Number and a Character
5.8.2 Converting Between a Number and a Logical Type
5.8.3 Converting Arrays
5.9 The Structure Data Type
5.10 Summary
5.11 Further Resources
Exercises
6 File Input/Output
6.1 Introduction
6.2 Recap on Basic Input/Output Functions
6.3 Simple Functions for Dealing with Text Files
6.4 Reading from Files
6.5 Writing to Files
6.6 Summary
6.7 Further Resources
Exercises
7 Program Design
7.1 Introduction
7.2 Top-Down Design
Step 1 - First Level Factoring
Step 2 - Further Factoring
Step 3 - Further Factoring
Step 4 - Write Pseudocode
7.2.1 Incremental Development and Test Stubs
7.3 Bottom-Up Design
7.4 A Combined Approach
7.5 Alternative Design Approaches
7.6 Summary
7.7 Further Resources
Exercises
8 Visualization
8.1 Introduction
8.2 Visualization
8.2.1 Visualizing Multiple Datasets
8.2.2 3-D Plotting
8.2.3 The meshgrid Command
8.2.4 Imaging Data
8.3 Summary
8.4 Further Resources
Exercises
9 Code Efficiency
9.1 Introduction
9.2 Time and Memory Efficiency
9.2.1 Timing Commands in MATLAB
9.2.2 Assessing Memory Efficiency
9.3 Tips for Improving Time Efficiency
9.3.1 Pre-Allocating Arrays
9.3.2 Avoiding Loops
9.3.3 Logical Indexing
9.3.4 A Few More Tips for Efficient Code
9.4 Recursive and Dynamic Programming
9.4.1 A Note on the Depth of Recursive Function Calls
9.5 Dynamic Programming to Improve Performance
9.6 Summary
9.7 Further Resources
Exercises
10 Signal and Image Processing
10.1 Introduction
10.2 Storing and Reading 1-D Signals
10.3 Processing 1-D Signals
10.4 Convolution
10.4.1 Convolution: More Detail
10.5 Image Data: Storing and Reading
10.6 Accessing Images in MATLAB
10.6.1 Color Versus Gray Scale Images
10.6.2 Getting Information About an Image
10.6.3 Viewing an Image
10.6.4 Accessing the Pixel Data for an Image
10.6.5 Viewing and Saving a Sub-Region of an Image
10.7 Image Processing
10.7.1 Binarizing a Gray Scale Image and Saving the Result
10.7.2 Threshold-Based Operations
10.7.3 Chaining Operations
10.7.4 Image Data Type, Value Range, and Display
10.8 Image Filtering
10.8.1 The Mean Filtering Operation
10.8.2 The Actual Filter Used
10.8.3 Applying a Filter in MATLAB
10.8.4 Filtering and Convolution
10.9 Summary
10.10 Further Resources
Exercises
11 Graphical User Interfaces
11.1 Introduction
11.2 Graphical User Interfaces in MATLAB
11.2.1 Building a GUI with the Guide Tool
11.2.2 Controlling Components: Events and Callback Functions
11.2.3 Maintaining State and Avoiding Duplicated Code
11.2.4 Tidying Up
11.3 Handles
11.4 Summary
11.5 Further Resources
Exercises
12 Statistics
12.1 Introduction
12.2 Descriptive Statistics
12.2.1 Univariate Data
12.2.2 Bivariate Data
12.3 Inferential Statistics
12.3.1 Testing the Distributions of Data Samples
12.3.2 Comparing Data Samples
12.4 Summary
12.5 Further Resources
Exercises
References
Index
Back Cover