Practical Biomedical Signal Analysis Using Matlab
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Practical Biomedical Signal Analysis Using Matlab
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Author : Katarzyna J. Blinowska
language : en
Publisher: CRC Press
Release Date : 2021-10-26
Practical Biomedical Signal Analysis Using Matlab written by Katarzyna J. Blinowska and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-10-26 with Medical categories.
Covering the latest cutting-edge techniques in biomedical signal processing while presenting a coherent treatment of various signal processing methods and applications, this second edition of Practical Biomedical Signal Analysis Using MATLAB® also offers practical guidance on which procedures are appropriate for a given task and different types of data. It begins by describing signal analysis techniques—including the newest and most advanced methods in the field—in an easy and accessible way, illustrating them with Live Script demos. MATLAB® routines are listed when available, and freely available software is discussed where appropriate. The book concludes by exploring the applications of the methods to a broad range of biomedical signals while highlighting common problems encountered in practice. These chapters have been updated throughout and include new sections on multiple channel analysis and connectivity measures, phase-amplitude analysis, functional near-infrared spectroscopy, fMRI (BOLD) signals, wearable devices, multimodal signal analysis, and brain-computer interfaces. By providing a unified overview of the field, this book explains how to integrate signal processing techniques in biomedical applications properly and explores how to avoid misinterpretations and pitfalls. It helps readers to choose the appropriate method as well as design their own methods. It will be an excellent guide for graduate students studying biomedical engineering and practicing researchers in the field of biomedical signal analysis. Features: Fully updated throughout with new achievements, technologies, and methods and is supported with over 40 original MATLAB Live Scripts illustrating the discussed techniques, suitable for self-learning or as a supplement to college courses Provides a practical comparison of the advantages and disadvantages of different approaches in the context of various applications Applies the methods to a variety of signals, including electric, magnetic, acoustic, and optical Katarzyna J. Blinowska is a Professor emeritus at the University of Warsaw, Poland, where she was director of Graduate Studies in Biomedical Physics and head of the Department of Biomedical Physics. Currently, she is employed at the Institute of Biocybernetics and Biomedical Engineering of the Polish Academy of Sciences. She has been at the forefront in developing new advanced time-series methods for research and clinical applications. Jarosław Żygierewicz is a Professor at the University of Warsaw, Poland. His research focuses on developing methods for analyzing EEG and MEG signals, brain-computer interfaces, and applications of machine learning in signal processing and classification.
Practical Biomedical Signal Analysis Using Matlab
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Author : Katarzyn J. Blinowska
language : en
Publisher: CRC Press
Release Date : 2011-09-12
Practical Biomedical Signal Analysis Using Matlab written by Katarzyn J. Blinowska and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2011-09-12 with Medical categories.
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 available software is discussed where appropriate. The final chapter explores the application of the methods to a broad range of biomedical signals, highlighting problems encountered in practice. A unified overview of the field, this book explains how to properly use signal processing techniques for biomedical applications and avoid misinterpretations and pitfalls. It helps readers to choose the appropriate method as well as design their own methods.
Practical Biomedical Signal Analysis Using Matlab
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Author : Katarzyna J. Blinowska-Cieslak
language : en
Publisher:
Release Date : 2012
Practical Biomedical Signal Analysis Using Matlab written by Katarzyna J. Blinowska-Cieslak and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012 with Electrophysiology categories.
Biomedical Signal Processing Using Matlab
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Author : Luca Mainardi
language : en
Publisher: Wiley
Release Date : 2016-05-09
Biomedical Signal Processing Using Matlab written by Luca Mainardi and has been published by Wiley this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-05-09 with Science categories.
Provides a unique emphasis on the practical aspect of implementing biomedical signal processing systems The book contains a learner-centered approach in which readers are motivated to explore, design and build solutions to given problems, with the authors providing the reader with solutions and software codes for common biomedical problems. The code guides the reader to a deeper understanding of the solution proposed and it is a starting point for further algorithms development and improvement. To reach these goals, each chapter/topic is divided into three parts: 1) fundamental & background, 2) learning assignments; 3) case-study assignments Presents a logical step-by-step tutorial on biomedical signal processing, from the theory to the practical (using Matlab coding). Focuses on worked examples and practical projects for teaching the subject which makes it an ideal practical text for lab-based courses in biomedical signal processing. Divided into two main sections whereby the first section (Chapter 2 to 6) introduces basic topics in biomedical signal processing, while the second section (Chapter 7 to 11) deals with advanced and novel biomedical signal processing methodologies. Companion website hosting online instructor manual with solutions of selected homework problems.
Practical Biomedical Signal Analysis Using Matlab
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Author :
language : en
Publisher:
Release Date : 2011
Practical Biomedical Signal Analysis Using Matlab written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2011 with categories.
Practical Guide For Biomedical Signals Analysis Using Machine Learning Techniques
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Author : Abdulhamit Subasi
language : en
Publisher: Academic Press
Release Date : 2019-03-16
Practical Guide For Biomedical Signals Analysis Using Machine Learning Techniques written by Abdulhamit Subasi and has been published by Academic Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-03-16 with Medical categories.
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, signal de-noising, feature extraction and dimension reduction techniques, such as PCA, ICA, KPCA, MSPCA, entropy measures, and other statistical measures, and more. This book is a valuable source for bioinformaticians, medical doctors and other members of the biomedical field who need a cogent resource on the most recent and promising machine learning techniques for biomedical signals analysis. - Provides comprehensive knowledge in the application of machine learning tools in biomedical signal analysis for medical diagnostics, brain computer interface and man/machine interaction - Explains how to apply machine learning techniques to EEG, ECG and EMG signals - Gives basic knowledge on predictive modeling in biomedical time series and advanced knowledge in machine learning for biomedical time series
Biomedical Signal Analysis
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Author : Rangaraj M. Rangayyan
language : en
Publisher: Wiley-IEEE Press
Release Date : 2002
Biomedical Signal Analysis written by Rangaraj M. Rangayyan and has been published by Wiley-IEEE Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2002 with Medical categories.
The development of techniques to analyze biomedical signals, such as electro-cardiograms, has dramatically affected countless lives by making possible improved noninvasive diagnosis, online monitoring of critically ill patients, and rehabilitation and sensory aids for the handicapped. Rangaraj Rangayyan supplies a practical, hands-on field guide to this constantly evolving technology in Biomedical Signal Analysis, focusing on the diagnostic challenges that medical professionals continue to face. Dr. Rangayyan applies a problem-solving approach to his study. Each chapter begins with the statement of a different biomedical signal problem, followed by a selection of real-life case studies and the associated signals. Signal processing, modeling, or analysis techniques are then presented, starting with relatively simple "textbook" methods, followed by more sophisticated research approaches. The chapter concludes with one or more application solutions; illustrations of real-life biomedical signals and their derivatives are included throughout. Among the topics addressed are: Concurrent, coupled, and correlated processes Filtering for removal of artifacts Event detection and characterization Frequency-domain characterization Modeling biomedical systems Analysis of nonstationary signals Pattern classification and diagnostic decision The chapters also present a number of laboratory exercises, study questions, and problems to facilitate preparation for class examinations and practical applications. Biomedical Signal Analysis provides a definitive resource for upper-level under-graduate and graduate engineering students, as well as for practicing engineers, computer scientists, information technologists, medical physicists, and data processing specialists. An authoritative assessment of the problems and applications of biomedical signals, rooted in practical case studies
Ieee Engineering In Medicine And Biology Magazine
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Author :
language : en
Publisher:
Release Date : 2003
Ieee Engineering In Medicine And Biology Magazine written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2003 with Biomedical engineering categories.
Advanced Methods And Tools For Ecg Data Analysis
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Author : Gari D. Clifford
language : en
Publisher: Artech House Publishers
Release Date : 2006
Advanced Methods And Tools For Ecg Data Analysis written by Gari D. Clifford and has been published by Artech House Publishers this book supported file pdf, txt, epub, kindle and other format this book has been release on 2006 with Computers categories.
This practical book is the first one-stop resource to offer a thorough, up-to-date treatment of the techniques and methods used in electrocardiogram (ECG) data analysis, from fundamental principles to the latest tools in the field. The book places emphasis on the selection, modeling, classification, and interpretation of data based on advanced signal processing and artificial intelligence techniques.
Introductory Biomedical Digital Signal Processing
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Author : Dale Grover
language : en
Publisher:
Release Date : 1999
Introductory Biomedical Digital Signal Processing written by Dale Grover and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1999 with Biomedical engineering categories.