MATLAB programming for biomedical engineers and scientists / Andrew P. King, Paul Aljabar.

Format:

Book

Author/Creator:

King, Andrew P., author.

Aljabar, Paul, author.

Language:

English

Subjects (All):

MATLAB.

Numerical analysis--Data processing.

Numerical analysis.

Physical Description:

1 online resource (326 pages)

Place of Publication:

London, England : Academic Press, 2017.

Summary:

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 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

Contents:

Front Cover

MATLAB® Programming for Biomedical Engineers and Scientists

Copyright

Dedication

Contents

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 Ef ciency

2.8 break and continue

2.9 Nesting Control Structures

2.10 Summary

2.11 Further Resources

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

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

5 Data Types

5.1 Introduction

5.2 Numeric Types

5.2.1 Precision for Non-Integer (Floating Point) Numeric Types

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 In nity and NaN (Not a Number)

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

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

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

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

9 Code Ef ciency

9.1 Introduction

9.2 Time and Memory Ef ciency

9.2.1 Timing Commands in MATLAB.

9.2.2 Assessing Memory Ef ciency

9.3 Tips for Improving Time Ef ciency

9.3.1 Pre-Allocating Arrays

9.3.2 Avoiding Loops

9.3.3 Logical Indexing

9.3.4 A Few More Tips for Ef cient 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

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

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

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

References

Index

Back Cover.

Notes:

Includes bibliographical references and index.

Description based on online resource; title from PDF title page (ebrary, viewed July 15, 2017).

ISBN:

0-12-813510-7