MATLAB Programming for Biomedical Engineers and Scientists

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  • Publisher : Academic Press
  • Release : 14 June 2017
  • ISBN : 9780128135105
  • Page : 324 pages
  • Rating : 4.5/5 from 103 voters

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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 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

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MATLAB Programming for Biomedical Engineers and Scientists

MATLAB Programming for Biomedical Engineers and Scientists
  • Author : Andrew King,Paul Aljabar
  • Publisher : Academic Press
  • Release Date : 2017-06-14
  • ISBN : 9780128135105
GET THIS BOOKMATLAB Programming for Biomedical Engineers and Scientists

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

MATLAB Programming for Biomedical Engineers and Scientists

MATLAB Programming for Biomedical Engineers and Scientists
  • Author : Andrew P. King,Paul Aljabar
  • Publisher : Academic Press
  • Release Date : 2022-07-01
  • ISBN : 9780323984577
GET THIS BOOKMATLAB Programming for Biomedical Engineers and Scientists

MATLAB Programming for Biomedical Engineers and Scientists, Second Edition provides an easy-to-learn introduction to the fundamentals of computer programming in MATLAB. The book explains the principles of good programming practice, while also demonstrating how to write efficient and robust code that analyzes and visualizes biomedical data. Aimed at the biomedical engineering student, biomedical scientist and medical researcher with little or no computer programming experience, this is an excellent resource for learning the principles and practice of computer programming using MATLAB.

Biomedical Image Analysis Recipes in MATLAB

Biomedical Image Analysis Recipes in MATLAB
  • Author : Constantino Carlos Reyes-Aldasoro
  • Publisher : John Wiley & Sons
  • Release Date : 2015-06-22
  • ISBN : 9781118657553
GET THIS BOOKBiomedical Image Analysis Recipes in MATLAB

As its title suggests, this innovative book has been written for life scientists needing to analyse their data sets, and programmers, wanting a better understanding of the types of experimental images life scientists investigate on a regular basis. Each chapter presents one self-contained biomedical experiment to be analysed. Part I of the book presents its two basic ingredients: essential concepts of image analysis and Matlab. In Part II, algorithms and techniques are shown as series of "recipes" or solved examples

Practical Biomedical Signal Analysis Using MATLAB®

Practical Biomedical Signal Analysis Using MATLAB®
  • Author : Katarzyn J. Blinowska,Jaroslaw Zygierewicz
  • Publisher : CRC Press
  • Release Date : 2011-09-12
  • ISBN : 9781439812020
GET THIS BOOKPractical Biomedical Signal Analysis Using MATLAB®

Practical Biomedical Signal Analysis Using MATLAB® presents a coherent treatment of various signal processing methods and applications. The book not only covers the current techniques of biomedical signal processing, but it also offers guidance on which methods are appropriate for a given task and different types of data. The first several chapters of the text describe signal analysis techniques—including the newest and most advanced methods—in an easy and accessible way. MATLAB routines are listed when available and freely

Statistics for Biomedical Engineers and Scientists

Statistics for Biomedical Engineers and Scientists
  • Author : Andrew P. King,Robert Eckersley
  • Publisher : Academic Press
  • Release Date : 2019-04-15
  • ISBN : 008102939X
GET THIS BOOKStatistics for Biomedical Engineers and Scientists

Statistics for Biomedical Engineers and Scientists: How to Analyze and Visualize Data provides an intuitive understanding of the concepts of basic statistics, with a focus on solving biomedical problems. Readers will learn how to understand the fundamental concepts of descriptive and inferential statistics, analyze data and choose an appropriate hypothesis test to answer a given question, compute numerical statistical measures and perform hypothesis tests 'by hand', and visualize data and perform statistical analysis using MATLAB. Practical activities and exercises are

Biomechanics

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  • Author : Cees Oomens,Marcel Brekelmans,Frank Baaijens
  • Publisher : Cambridge University Press
  • Release Date : 2009-02-02
  • ISBN : 9780521875585
GET THIS BOOKBiomechanics

This quantitative approach integrates the basic concepts of mechanics and computational modelling techniques for undergraduate biomedical engineering students.

Clinical Radiotherapy Physics with MATLAB

Clinical Radiotherapy Physics with MATLAB
  • Author : Pavel Dvorak
  • Publisher : CRC Press
  • Release Date : 2018-06-12
  • ISBN : 9780429019296
GET THIS BOOKClinical Radiotherapy Physics with MATLAB

The first MATLAB® programming book written specifically for clinical radiotherapy medical physicists and medical physics trainees, this much-needed book teaches users how to create their own clinical applications using MATLAB®, as a complement to commercial software particularly when the latter does not cover specific local clinical needs. Chapters explore key radiotherapy areas such as handling volumes, 3D dose calculation, comparing dose distributions, reconstructing treatment plans and their summations, and automated tests for machine quality assurance. Readers will learn to independently

Statistics for Bioengineering Sciences

Statistics for Bioengineering Sciences
  • Author : Brani Vidakovic
  • Publisher : Springer Science & Business Media
  • Release Date : 2011-08-04
  • ISBN : 9781461403944
GET THIS BOOKStatistics for Bioengineering Sciences

Through its scope and depth of coverage, this book addresses the needs of the vibrant and rapidly growing engineering fields, bioengineering and biomedical engineering, while implementing software that engineers are familiar with. The author integrates introductory statistics for engineers and introductory biostatistics as a single textbook heavily oriented to computation and hands on approaches. For example, topics ranging from the aspects of disease and device testing, Sensitivity, Specificity and ROC curves, Epidemiological Risk Theory, Survival Analysis, or Logistic and Poisson

Numerical Methods in Biomedical Engineering

Numerical Methods in Biomedical Engineering
  • Author : Stanley Dunn,Alkis Constantinides,Prabhas V. Moghe
  • Publisher : Elsevier
  • Release Date : 2005-11-21
  • ISBN : 0080470807
GET THIS BOOKNumerical Methods in Biomedical Engineering

Numerical Modeling in Biomedical Engineering brings together the integrative set of computational problem solving tools important to biomedical engineers. Through the use of comprehensive homework exercises, relevant examples and extensive case studies, this book integrates principles and techniques of numerical analysis. Covering biomechanical phenomena and physiologic, cell and molecular systems, this is an essential tool for students and all those studying biomedical transport, biomedical thermodynamics & kinetics and biomechanics. Supported by Whitaker Foundation Teaching Materials Program; ABET-oriented pedagogical layout Extensive hands-on

Essential MATLAB for Scientists and Engineers

Essential MATLAB for Scientists and Engineers
  • Author : Brian Hahn,Daniel T. Valentine
  • Publisher : Elsevier
  • Release Date : 2001-12-21
  • ISBN : 9780080477640
GET THIS BOOKEssential MATLAB for Scientists and Engineers

Based on a teach-yourself approach, the fundamentals of MATLAB are illustrated throughout with many examples from a number of different scientific and engineering areas, such as simulation, population modelling, and numerical methods, as well as from business and everyday life. Some of the examples draw on first-year university level maths, but these are self-contained so that their omission will not detract from learning the principles of using MATLAB. This completely revised new edition is based on the latest version of

Introduction to Modeling in Physiology and Medicine

Introduction to Modeling in Physiology and Medicine
  • Author : Claudio Cobelli,Ewart Carson
  • Publisher : Elsevier
  • Release Date : 2008-02-06
  • ISBN : 9780080559988
GET THIS BOOKIntroduction to Modeling in Physiology and Medicine

This unified modeling textbook for students of biomedical engineering provides a complete course text on the foundations, theory and practice of modeling and simulation in physiology and medicine. It is dedicated to the needs of biomedical engineering and clinical students, supported by applied BME applications and examples. Developed for biomedical engineering and related courses: speaks to BME students at a level and in a language appropriate to their needs, with an interdisciplinary clinical/engineering approach, quantitative basis, and many applied

Practical Guide for Biomedical Signals Analysis Using Machine Learning Techniques

Practical Guide for Biomedical Signals Analysis Using Machine Learning Techniques
  • Author : Abdulhamit Subasi
  • Publisher : Academic Press
  • Release Date : 2019-03-16
  • ISBN : 9780128176733
GET THIS BOOKPractical Guide for Biomedical Signals Analysis Using Machine Learning Techniques

Practical Guide for Biomedical Signals Analysis Using Machine Learning Techniques: A MATLAB Based Approach presents how machine learning and biomedical signal processing methods can be used in biomedical signal analysis. Different machine learning applications in biomedical signal analysis, including those for electrocardiogram, electroencephalogram and electromyogram are described in a practical and comprehensive way, helping readers with limited knowledge. Sections cover biomedical signals and machine learning techniques, biomedical signals, such as electroencephalogram (EEG), electromyogram (EMG) and electrocardiogram (ECG), different signal-processing techniques,

Programming with MATLAB for Scientists

Programming with MATLAB for Scientists
  • Author : Eugeniy E. Mikhailov
  • Publisher : CRC Press
  • Release Date : 2018-01-12
  • ISBN : 9781498738293
GET THIS BOOKProgramming with MATLAB for Scientists

This book offers an introduction to the basics of MATLAB programming to scientists and engineers. The author leads with engaging examples to build a working knowledge, specifically geared to those with science and engineering backgrounds. The reader is empowered to model and simulate real systems, as well as present and analyze everyday data sets. In order to achieve those goals, the contents bypass excessive "under the hood" details, and instead gets right down to the essential, practical foundations for successful

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  • Author : Sergey N. Makarov,Reinhold Ludwig,Stephen J. Bitar
  • Publisher : Springer
  • Release Date : 2016-06-27
  • ISBN : 9783319211732
GET THIS BOOKPractical Electrical Engineering

This textbook provides comprehensive, in-depth coverage of the fundamental concepts of electrical engineering. It is written from an engineering perspective, with special emphasis on circuit functionality and applications. Reliance on higher-level mathematics and physics, or theoretical proofs has been intentionally limited in order to prioritize the practical aspects of electrical engineering. This text is therefore suitable for a number of introductory circuit courses for other majors such as mechanical, biomedical, aerospace, civil, architecture, petroleum, and industrial engineering. The authors’ primary

MATLAB for Brain and Cognitive Scientists

MATLAB for Brain and Cognitive Scientists
  • Author : Mike X Cohen
  • Publisher : MIT Press
  • Release Date : 2017-05-12
  • ISBN : 9780262035828
GET THIS BOOKMATLAB for Brain and Cognitive Scientists

An introduction to a popular programming language for neuroscience research, taking the reader from beginning to intermediate and advanced levels of MATLAB programming. MATLAB is one of the most popular programming languages for neuroscience and psychology research. Its balance of usability, visualization, and widespread use makes it one of the most powerful tools in a scientist's toolbox. In this book, Mike Cohen teaches brain scientists how to program in MATLAB, with a focus on applications most commonly used in neuroscience