Biomedical Signal Processing And Signal Modeling

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Biomedical Signal Processing And Signal Modeling

Author : Bruce
Publisher : John Wiley & Sons
Page : 540 pages
File Size : 51,7 Mb
Release : 2007-01-20
Category : Electronic
ISBN : 8126511117

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Biomedical Signal Processing And Signal Modeling by Bruce Pdf

This book provides a unique framework for understanding signal processing of biomedical signals and what it tells us about signal sources and their behavior in response to perturbation. Using a modeling-based approach, the author shows how to perform signal processing by developing and manipulating a model of the signal source, providing a logical, coherent basis for recognizing signal types and for tackling the special challenges posed by biomedical signals-including the effects of noise on the signal, changes in basic properties, or the fact that these signals contain large stochastic components and may even be fractal or chaotic. Each chapter begins with a detailed biomedical example, illustrating the methods under discussion and highlighting the interconnection between the theoretical concepts and applications. · The Nature of Biomedical Signals· Memory and Correlation· The Impulse Response· Frequency Response· Modeling Continuous-Time Signals as Sums of Sine Waves· Responses of Linear Continuous-Time Filters to Arbitrary Inputs· Modeling Signals as Sums of Discrete-Time Sine Waves· Noise Removal and Signal Compensation· Modeling Stochastic Signals as Filtered White Noise· Scaling and Long-Term Memory· Nonlinear Models of Signals· Assessing Stationarity and Reproducibility

Biomedical Signal Processing and Signal Modeling

Author : Eugene N. Bruce
Publisher : Wiley-Interscience
Page : 544 pages
File Size : 49,9 Mb
Release : 2001
Category : Technology & Engineering
ISBN : UOM:39015049532933

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Biomedical Signal Processing and Signal Modeling by Eugene N. Bruce Pdf

A biomedical engineering perspective on the theory, methods, and applications of signal processing This book provides a unique framework for understanding signal processing of biomedical signals and what it tells us about signal sources and their behavior in response to perturbation. Using a modeling-based approach, the author shows how to perform signal processing by developing and manipulating a model of the signal source, providing a logical, coherent basis for recognizing signal types and for tackling the special challenges posed by biomedical signals-including the effects of noise on the signal, changes in basic properties, or the fact that these signals contain large stochastic components and may even be fractal or chaotic. Each chapter begins with a detailed biomedical example, illustrating the methods under discussion and highlighting the interconnection between the theoretical concepts and applications. The author has enlisted experts from numerous subspecialties in biomedical engineering to help develop these examples and has made most examples available as Matlab or Simulink files via anonymous ftp. Without the need for a background in electrical engineering, readers will become acquainted with proven techniques for analyzing biomedical signals and learn how to choose the appropriate method for a given application.

Signals and Systems in Biomedical Engineering

Author : Suresh R. Devasahayam
Publisher : Springer Science & Business Media
Page : 348 pages
File Size : 53,8 Mb
Release : 2012-12-06
Category : Technology & Engineering
ISBN : 9781461542995

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Signals and Systems in Biomedical Engineering by Suresh R. Devasahayam Pdf

In the past few years Biomedical Engineering has received a great deal of attention as one of the emerging technologies in the last decade and for years to come, as witnessed by the many books, conferences, and their proceedings. Media attention, due to the applications-oriented advances in Biomedical Engineering, has also increased. Much of the excitement comes from the fact that technology is rapidly changing and new technological adventures become available and feasible every day. For many years the physical sciences contributed to medicine in the form of expertise in radiology and slow but steady contributions to other more diverse fields, such as computers in surgery and diagnosis, neurology, cardiology, vision and visual prosthesis, audition and hearing aids, artificial limbs, biomechanics, and biomaterials. The list goes on. It is therefore hard for a person unfamiliar with a subject to separate the substance from the hype. Many of the applications of Biomedical Engineering are rather complex and difficult to understand even by the not so novice in the field. Much of the hardware and software tools available are either too simplistic to be useful or too complicated to be understood and applied. In addition, the lack of a common language between engineers and computer scientists and their counterparts in the medical profession, sometimes becomes a barrier to progress.

Biomedical Signal Analysis

Author : Rangaraj M. Rangayyan
Publisher : John Wiley & Sons
Page : 720 pages
File Size : 51,7 Mb
Release : 2015-04-24
Category : Science
ISBN : 9781119067931

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Biomedical Signal Analysis by Rangaraj M. Rangayyan Pdf

The book will help assist a reader in the development of techniques for analysis of biomedical signals and computer aided diagnoses with a pedagogical examination of basic and advanced topics accompanied by over 350 figures and illustrations. Wide range of filtering techniques presented to address various applications 800 mathematical expressions and equations Practical questions, problems and laboratory exercises Includes fractals and chaos theory with biomedical applications

Advanced Methods of Biomedical Signal Processing

Author : Sergio Cerutti,Carlo Marchesi
Publisher : John Wiley & Sons
Page : 612 pages
File Size : 50,6 Mb
Release : 2011-06-09
Category : Science
ISBN : 9781118007730

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Advanced Methods of Biomedical Signal Processing by Sergio Cerutti,Carlo Marchesi Pdf

This book grew out of the IEEE-EMBS Summer Schools on Biomedical Signal Processing, which have been held annually since 2002 to provide the participants state-of-the-art knowledge on emerging areas in biomedical engineering. Prominent experts in the areas of biomedical signal processing, biomedical data treatment, medicine, signal processing, system biology, and applied physiology introduce novel techniques and algorithms as well as their clinical or physiological applications. The book provides an overview of a compelling group of advanced biomedical signal processing techniques, such as multisource and multiscale integration of information for physiology and clinical decision; the impact of advanced methods of signal processing in cardiology and neurology; the integration of signal processing methods with a modelling approach; complexity measurement from biomedical signals; higher order analysis in biomedical signals; advanced methods of signal and data processing in genomics and proteomics; and classification and parameter enhancement.

Nonlinear Biomedical Signal Processing, Volume 2

Author : Metin Akay
Publisher : Wiley-IEEE Press
Page : 376 pages
File Size : 44,9 Mb
Release : 2000-09-20
Category : Science
ISBN : UOM:39015051313735

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Nonlinear Biomedical Signal Processing, Volume 2 by Metin Akay Pdf

Publisher description: Biomedical / Electrical Engineering Nonlinear Biomedical Signal Processing Volume I: Fuzzy Logic, Neural Networks, and New Algorithms A volume in the IEEE Press Series on Biomedical Engineering Metin Akay, Series Editor For the first time, eleven experts in the fields of signal processing and biomedical engineering have contributed to an edition on the newest theories and applications of fuzzy logic, neural networks, and algorithms in biomedicine. Nonlinear Biomedical Signal Processing, Volume I provides comprehensive coverage of nonlinear signal processing techniques. In the last decade, theoretical developments in the concept of fuzzy logic have led to several new approaches to neural networks. This compilation delivers plenty of real-world examples for a variety of implementations and applications of nonlinear signal processing technologies to biomedical problems. Included here are discussions that combine the various structures of Kohenen, Hopfield, and multiple-layer "designer" networks with other approaches to produce hybrid systems. Comparative analysis is made of methods of genetic, back-propagation, Bayesian, and other learning algorithms. Topics covered include: * Uncertainty management * Analysis of biomedical signals * A guided tour of neural networks * Application of algorithms to EEG and heart rate variability signals * Event detection and sample stratification in genomic sequences * Applications of multivariate analysis methods to measure glucose concentration Nonlinear Biomedical Signal Processing, Volume I is a valuable reference tool for medical researchers, medical faculty and advanced graduate student, s as well as for practicing biomedical engineers. Nonlinear Biomedical Signal Processing, Volume I is an excellent companion to Nonlinear Biomedical Signal Processing, Volume II: Dynamic Analysis and Modeling.

Signals and Systems in Biomedical Engineering

Author : Suresh R. Devasahayam
Publisher : Springer Science & Business Media
Page : 395 pages
File Size : 40,9 Mb
Release : 2012-11-08
Category : Technology & Engineering
ISBN : 9781461453321

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Signals and Systems in Biomedical Engineering by Suresh R. Devasahayam Pdf

The use of digital signal processing is ubiquitous in the field of physiology and biomedical engineering. The application of such mathematical and computational tools requires a formal or explicit understanding of physiology. Formal models and analytical techniques are interlinked in physiology as in any other field. This book takes a unitary approach to physiological systems, beginning with signal measurement and acquisition, followed by signal processing, linear systems modelling, and computer simulations. The signal processing techniques range across filtering, spectral analysis and wavelet analysis. Emphasis is placed on fundamental understanding of the concepts as well as solving numerical problems. Graphs and analogies are used extensively to supplement the mathematics. Detailed models of nerve and muscle at the cellular and systemic levels provide examples for the mathematical methods and computer simulations. Several of the models are sufficiently sophisticated to be of value in understanding real world issues like neuromuscular disease. This second edition features expanded problem sets and a link to extra downloadable material.

Biomedical Signal Analysis

Author : Rangaraj M. Rangayyan,Sridhar Krishnan
Publisher : John Wiley & Sons
Page : 724 pages
File Size : 50,9 Mb
Release : 2024-02-19
Category : Science
ISBN : 9781119825876

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Biomedical Signal Analysis by Rangaraj M. Rangayyan,Sridhar Krishnan Pdf

Biomedical Signal Analysis Comprehensive resource covering recent developments, applications of current interest, and advanced techniques for biomedical signal analysis Biomedical Signal Analysis provides extensive insight into digital signal processing techniques for filtering, identification, characterization, classification, and analysis of biomedical signals with the aim of computer-aided diagnosis, taking a unique approach by presenting case studies encountered in the authors’ research work. Each chapter begins with the statement of a biomedical signal problem, followed by a selection of real-life case studies and illustrations with the associated signals. Signal processing, modeling, or analysis techniques are then presented, starting with relatively simple “textbook” methods, followed by more sophisticated research-informed approaches. Each chapter concludes with solutions to practical applications. Illustrations of real-life biomedical signals and their derivatives are included throughout. The third edition expands on essential background material and advanced topics without altering the underlying pedagogical approach and philosophy of the successful first and second editions. The book is enhanced by a large number of study questions and laboratory exercises as well as an online repository with solutions to problems and data files for laboratory work and projects. Biomedical Signal Analysis provides theoretical and practical information on: The origin and characteristics of several biomedical signals Analysis of concurrent, coupled, and correlated processes, with applications in monitoring of sleep apnea Filtering for removal of artifacts, random noise, structured noise, and physiological interference in signals generated by stationary, nonstationary, and cyclostationary processes Detection and characterization of events, covering methods for QRS detection, identification of heart sounds, and detection of the dicrotic notch Analysis of waveshape and waveform complexity Interpretation and analysis of biomedical signals in the frequency domain Mathematical, electrical, mechanical, and physiological modeling of biomedical signals and systems Sophisticated analysis of nonstationary, multicomponent, and multisource signals using wavelets, time-frequency representations, signal decomposition, and dictionary-learning methods Pattern classification and computer-aided diagnosis Biomedical Signal Analysis is an ideal learning resource for senior undergraduate and graduate engineering students. Introductory sections on signals, systems, and transforms make this book accessible to students in disciplines other than electrical engineering.

Advanced Methods in Biomedical Signal Processing and Analysis

Author : Kunal Pal,Samit Ari,Arindam Bit,Saugat Bhattacharyya
Publisher : Academic Press
Page : 434 pages
File Size : 42,9 Mb
Release : 2022-09-07
Category : Technology & Engineering
ISBN : 9780323859547

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Advanced Methods in Biomedical Signal Processing and Analysis by Kunal Pal,Samit Ari,Arindam Bit,Saugat Bhattacharyya Pdf

Advanced Methods in Biomedical Signal Processing and Analysis presents state-of-the-art methods in biosignal processing, including recurrence quantification analysis, heart rate variability, analysis of the RRI time-series signals, joint time-frequency analyses, wavelet transforms and wavelet packet decomposition, empirical mode decomposition, modeling of biosignals, Gabor Transform, empirical mode decomposition. The book also gives an understanding of feature extraction, feature ranking, and feature selection methods, while also demonstrating how to apply artificial intelligence and machine learning to biosignal techniques. Gives advanced methods in signal processing Includes machine and deep learning methods Presents experimental case studies

Signals and Systems in Biomedical Engineering: Physiological Systems Modeling and Signal Processing

Author : Suresh R. Devasahayam
Publisher : Springer
Page : 468 pages
File Size : 50,9 Mb
Release : 2019-03-29
Category : Medical
ISBN : 9789811335310

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Signals and Systems in Biomedical Engineering: Physiological Systems Modeling and Signal Processing by Suresh R. Devasahayam Pdf

Physiology is a set of processes that maintain homeostasis, and physiological measurement is a means of observing these processes. Systems theory and signal processing offer formal tools for the study of processes and measured quantities. This book shows that systems modeling can be used to develop simulations of physiological systems, which use formal relations between the underlying processes and the observed measurements. The inverse of such relations suggest signal processing tools that can be applied to interpret experimental data. Both signal processing and systems modeling are invaluable in the study of human physiology. Discussing signal processing techniques ranging from filtering and spectrum analysis to wavelet analysis, the book uses graphs and analogies to supplement the mathematics and make the book more accessible to physiologists and more interesting to engineers. Physiological systems modeling helps in both gaining insight and generating methods of analysis. This book shows how numerical computation with graphical display, haptics and multimedia can be used to simulate physiological systems. In this third edition the simulations are more closely related to clinical examination and experimental physiology than in previous editions. Detailed models of nerve and muscle at the cellular and systemic levels, and simplified models of cardiovascular blood flow provide examples for the mathematical methods and computer simulations. Several of the models are sufficiently sophisticated to be of value in understanding real world issues like neuromuscular disease. The book features expanded problem sets and a link to extra downloadable material containing simulation programs that are solutions to the theory developed in the text.

Practical Biomedical Signal Analysis Using MATLAB®

Author : Katarzyn J. Blinowska,Jaroslaw Zygierewicz
Publisher : CRC Press
Page : 326 pages
File Size : 47,5 Mb
Release : 2011-09-12
Category : Medical
ISBN : 9781439812020

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Practical Biomedical Signal Analysis Using MATLAB® by Katarzyn J. Blinowska,Jaroslaw Zygierewicz Pdf

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.

Biomedical Signal Processing for Healthcare Applications

Author : Varun Bajaj,G. R. Sinha,Chinmay Chakraborty
Publisher : CRC Press
Page : 336 pages
File Size : 41,7 Mb
Release : 2021-07-21
Category : Technology & Engineering
ISBN : 9781000413304

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Biomedical Signal Processing for Healthcare Applications by Varun Bajaj,G. R. Sinha,Chinmay Chakraborty Pdf

This book examines the use of biomedical signal processing—EEG, EMG, and ECG—in analyzing and diagnosing various medical conditions, particularly diseases related to the heart and brain. In combination with machine learning tools and other optimization methods, the analysis of biomedical signals greatly benefits the healthcare sector by improving patient outcomes through early, reliable detection. The discussion of these modalities promotes better understanding, analysis, and application of biomedical signal processing for specific diseases. The major highlights of Biomedical Signal Processing for Healthcare Applications include biomedical signals, acquisition of signals, pre-processing and analysis, post-processing and classification of the signals, and application of analysis and classification for the diagnosis of brain- and heart-related diseases. Emphasis is given to brain and heart signals because incomplete interpretations are made by physicians of these aspects in several situations, and these partial interpretations lead to major complications. FEATURES Examines modeling and acquisition of biomedical signals of different disorders Discusses CAD-based analysis of diagnosis useful for healthcare Includes all important modalities of biomedical signals, such as EEG, EMG, MEG, ECG, and PCG Includes case studies and research directions, including novel approaches used in advanced healthcare systems This book can be used by a wide range of users, including students, research scholars, faculty, and practitioners in the field of biomedical engineering and medical image analysis and diagnosis.

Signal Processing for Neuroscientists

Author : Wim van Drongelen
Publisher : Elsevier
Page : 320 pages
File Size : 50,8 Mb
Release : 2006-12-18
Category : Science
ISBN : 008046775X

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Signal Processing for Neuroscientists by Wim van Drongelen Pdf

Signal Processing for Neuroscientists introduces analysis techniques primarily aimed at neuroscientists and biomedical engineering students with a reasonable but modest background in mathematics, physics, and computer programming. The focus of this text is on what can be considered the ‘golden trio’ in the signal processing field: averaging, Fourier analysis, and filtering. Techniques such as convolution, correlation, coherence, and wavelet analysis are considered in the context of time and frequency domain analysis. The whole spectrum of signal analysis is covered, ranging from data acquisition to data processing; and from the mathematical background of the analysis to the practical application of processing algorithms. Overall, the approach to the mathematics is informal with a focus on basic understanding of the methods and their interrelationships rather than detailed proofs or derivations. One of the principle goals is to provide the reader with the background required to understand the principles of commercially available analyses software, and to allow him/her to construct his/her own analysis tools in an environment such as MATLAB®. Multiple color illustrations are integrated in the text Includes an introduction to biomedical signals, noise characteristics, and recording techniques Basics and background for more advanced topics can be found in extensive notes and appendices A Companion Website hosts the MATLAB scripts and several data files: http://www.elsevierdirect.com/companion.jsp?ISBN=9780123708670

Biomedical Signal and Image Processing

Author : Kayvan Najarian,Robert Splinter
Publisher : CRC Press
Page : 466 pages
File Size : 47,6 Mb
Release : 2005-12-21
Category : Medical
ISBN : 0849320992

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Biomedical Signal and Image Processing by Kayvan Najarian,Robert Splinter Pdf

All of the biomedical measurement technologies, which are now instrumental to the medical field, are essentially useless without proper signal and image processing. Biomedical Signal and Image Processing is unique in providing a comprehensive survey of all the conventional and advanced imaging modalities and the main computational methods used for processing the data obtained from each. This book offers self-contained coverage of the mathematics and biology/physiology necessary to build effective algorithms and programs for biomedical signal and image processing applications. The first part of the book details the main signal and image processing, pattern recognition, and feature extraction techniques along with computational methods from other fields such as information theory and stochastic processes. Building on this foundation, the second part explores the major one-dimensional biological signals, the biological origin and importance of each signal, and the commonly used processing techniques with an emphasis on physiology and diagnostic applications, while the third section does the same for imaging modalities. Throughout the book, the authors rely on practical examples using real data from biomedical systems. They supply several programming examples in MATLAB® to provide hands-on experience and insight Integrating all major modalities and computational techniques in a single source, Biomedical Signal and Image Processing is a perfect introduction to the field as well as an ideal reference for the established professional.

BIOMEDICAL SIGNAL ANALYSIS: A CASE-STUDY APPROACH

Author : By RANGARAJ M. RANGAYYAN
Publisher : Unknown
Page : 552 pages
File Size : 54,5 Mb
Release : 2009-08-01
Category : Electronic
ISBN : 8126522194

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BIOMEDICAL SIGNAL ANALYSIS: A CASE-STUDY APPROACH by By RANGARAJ M. RANGAYYAN Pdf

Market_Desc: The book is directed at engineering students in their final year of undergraduate studies or in their graduate studies. Electrical engineering students with a rich background in signals and systems will be well prepared for the material in the book. Practicing engineers, computer scientists, information technologists, medical physicists, and data processing specialists working in diverse areas such as telecommunications, seismic and geophysical applications, biomedical applications, and hospital information systems will find this book useful for learning advanced techniques for signal analysis. Special Features: · The author takes a case-study approach to solve problems in biomedical signal analysis.· Each chapter deals with a certain type of problems with biomedical signals.· Real-life case studies and the associated signals illustrate the problem to be solved.· Signal processing, modeling, or analysis techniques are then presented, starting with relatively simple methods, followed by more sophisticated ones.· Each chapter concludes with an application to a significant and practical problem. About The Book: The author takes a case-study approach to solve problems in biomedical signal analysis. Each chapter deals with a certain type of problems with biomedical signals. Real-life case studies and the associated signals illustrate the problem to be solved. Signal processing, modeling, or analysis techniques are then presented, starting with relatively simple methods, followed by more sophisticated ones. Each chapter concludes with an application to a significant and practical problem.