MATLAB® programming for biomedical engineers and scientists.
Material type:
TextPublisher: London ; San Diego, CA : Academic Press, an imprint of Elsevier, 2017Description: xxi, 301 p. : ill.; 24 cmISBN: 9780128122037Subject(s): Numerical analysis | Mathematical Computing | Biomedical Engineering | Software | Automatic Data ProcessingDDC classification: 510.285/5369 NLM classification: QT 36 KM 2017 | QT 36Summary: 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
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| QT 4 KF 2005 Fundamentals of physiotherapy. | QT 4 KF 2005 Fundamentals of physiotherapy. | QT 36 KM 2017 MATLAB® programming for biomedical engineers and scientists. | QT 36 KM 2017 MATLAB® programming for biomedical engineers and scientists. | QT 36 KM 2017 MATLAB® programming for biomedical engineers and scientists. | QT 36.5 GN 2017 Nanostructures for novel therapy : | QT 36.5 GN 2017 Nanostructures for novel therapy : |
Includes bibliographical references and index.
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
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