[PDF] Nonlinear Biomedical Signal Processing Fuzzy Logic Neural Networks And New Algorithms - eBooks Review

Nonlinear Biomedical Signal Processing Fuzzy Logic Neural Networks And New Algorithms


Nonlinear Biomedical Signal Processing Fuzzy Logic Neural Networks And New Algorithms
DOWNLOAD

Download Nonlinear Biomedical Signal Processing Fuzzy Logic Neural Networks And New Algorithms PDF/ePub or read online books in Mobi eBooks. Click Download or Read Online button to get Nonlinear Biomedical Signal Processing Fuzzy Logic Neural Networks And New Algorithms book now. This website allows unlimited access to, at the time of writing, more than 1.5 million titles, including hundreds of thousands of titles in various foreign languages. If the content not found or just blank you must refresh this page



Nonlinear Biomedical Signal Processing Volume 2


Nonlinear Biomedical Signal Processing Volume 2
DOWNLOAD
Author : Metin Akay
language : en
Publisher: Wiley-IEEE Press
Release Date : 2000-09-20

Nonlinear Biomedical Signal Processing Volume 2 written by Metin Akay 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 2000-09-20 with Computers categories.


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.



Nonlinear Biomedical Signal Processing Fuzzy Logic Neural Networks And New Algorithms


Nonlinear Biomedical Signal Processing Fuzzy Logic Neural Networks And New Algorithms
DOWNLOAD
Author : Metin Akay
language : en
Publisher: Wiley-IEEE Press
Release Date : 2012-06-08

Nonlinear Biomedical Signal Processing Fuzzy Logic Neural Networks And New Algorithms written by Metin Akay 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 2012-06-08 with Science categories.


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 students 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.



Biosignal Processing And Classification Using Computational Learning And Intelligence


Biosignal Processing And Classification Using Computational Learning And Intelligence
DOWNLOAD
Author : Alejandro A. Torres-García
language : en
Publisher: Academic Press
Release Date : 2021-09-18

Biosignal Processing And Classification Using Computational Learning And Intelligence written by Alejandro A. Torres-García and has been published by Academic Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-09-18 with Science categories.


Biosignal Processing and Classification Using Computational Learning and Intelligence: Principles, Algorithms and Applications posits an approach for biosignal processing and classification using computational learning and intelligence, highlighting that the term biosignal refers to all kinds of signals that can be continuously measured and monitored in living beings. The book is composed of five relevant parts. Part One is an introduction to biosignals and Part Two describes the relevant techniques for biosignal processing, feature extraction and feature selection/dimensionality reduction. Part Three presents the fundamentals of computational learning (machine learning). Then, the main techniques of computational intelligence are described in Part Four. The authors focus primarily on the explanation of the most used methods in the last part of this book, which is the most extensive portion of the book. This part consists of a recapitulation of the newest applications and reviews in which these techniques have been successfully applied to the biosignals’ domain, including EEG-based Brain-Computer Interfaces (BCI) focused on P300 and Imagined Speech, emotion recognition from voice and video, leukemia recognition, infant cry recognition, EEGbased ADHD identification among others. Provides coverage of the fundamentals of signal processing, including sensing the heart, sending the brain, sensing human acoustic, and sensing other organs Includes coverage biosignal pre-processing techniques such as filtering, artifiact removal, and feature extraction techniques such as Fourier transform, wavelet transform, and MFCC Covers the latest techniques in machine learning and computational intelligence, including Supervised Learning, common classifiers, feature selection, dimensionality reduction, fuzzy logic, neural networks, Deep Learning, bio-inspired algorithms, and Hybrid Systems Written by engineers to help engineers, computer scientists, researchers, and clinicians understand the technology and applications of computational learning to biosignal processing



Fuzzy Recurrence Plots And Networks With Applications In Biomedicine


Fuzzy Recurrence Plots And Networks With Applications In Biomedicine
DOWNLOAD
Author : Tuan D. Pham
language : en
Publisher: Springer Nature
Release Date : 2020-01-07

Fuzzy Recurrence Plots And Networks With Applications In Biomedicine written by Tuan D. Pham and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-01-07 with Mathematics categories.


This book presents an original combination of three well-known methodological approaches for nonlinear data analysis: recurrence, networks, and fuzzy logic. After basic concepts of these three approaches are introduced, this book presents recently developed methods known as fuzzy recurrence plots and fuzzy recurrence networks. Computer programs written in MATLAB, which implement the basic algorithms, are included to facilitate the understanding of the developed ideas. Several applications of these techniques to biomedical problems, ranging from cancer and neurodegenerative disease to depression, are illustrated to show the potential of fuzzy recurrence methods. This book opens a new door to theorists in complex systems science as well as specialists in medicine, biology, engineering, physics, computer science, geosciences, and social economics to address issues in experimental nonlinear signal and data processing.



New Advances In Intelligent Signal Processing


New Advances In Intelligent Signal Processing
DOWNLOAD
Author : Antonio Ruano
language : en
Publisher: Springer
Release Date : 2011-08-31

New Advances In Intelligent Signal Processing written by Antonio Ruano and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2011-08-31 with Technology & Engineering categories.


The current volume “New Advances in Intelligent Signal Processing” contains extended works based on a careful selection of papers presented originally at the jubilee sixth IEEE International Symposium on Intelligent Signal Processing (WISP’2009), held in Budapest Hungary, August 26-28, 2009 - celebrating the 10 years anniversary of the WISP event series. The present book does not intent to be an overall survey on the fields of interest of the area, but tries to find topics which represent new, hot, and challenging problems. The book begins with papers investigating selected problems of Modeling, Identification, and Clustering such as fuzzy random variables, evolutionary multi-objective neural network models, a structural learning model of neural networks within a Boltzmann machine, a robust DNA-based clustering techniques, and the advances of combining multi-criteria analysis of signals and pattern recognition using machine learning principles. In the second part of the book Image Processing is treated. The carefully edited chapters deal with fuzzy relation based image enhancement, image contrast control technique based on the application of Łukasiewicz algebra operators, low complexity situational models of image quality improvement, flexible representation of map images to quantum computers, and object recognition in images. The last chapter presents an image processing application for elderly care, performing real-time 3D tracking based on a new evaluative multi-modal algorithm.



Advanced Methods Of Biomedical Signal Processing


Advanced Methods Of Biomedical Signal Processing
DOWNLOAD
Author : Sergio Cerutti
language : en
Publisher: John Wiley & Sons
Release Date : 2011-05-10

Advanced Methods Of Biomedical Signal Processing written by Sergio Cerutti and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2011-05-10 with Science categories.


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.



Biomedical Signal Analysis


Biomedical Signal Analysis
DOWNLOAD
Author : Rangaraj M. Rangayyan
language : en
Publisher: John Wiley & Sons
Release Date : 2015-06-08

Biomedical Signal Analysis written by Rangaraj M. Rangayyan and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2015-06-08 with Science categories.


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



Handbook Of Biomedical Telemetry


Handbook Of Biomedical Telemetry
DOWNLOAD
Author : Konstantina S. Nikita
language : en
Publisher: John Wiley & Sons
Release Date : 2014-08-25

Handbook Of Biomedical Telemetry written by Konstantina S. Nikita and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014-08-25 with Science categories.


A must-have compendium on biomedical telemetry for all biomedical professional engineers, researchers, and graduate students in the field Handbook of Biomedical Telemetry describes the main components of a typical biomedical telemetry system, as well as its technical challenges. Written by a diverse group of experts in the field, it is filled with overviews, highly-detailed scientific analyses, and example applications of biomedical telemetry. The book also addresses technologies for biomedical sensing and design of biomedical telemetry devices with special emphasis on powering/integration issues and materials for biomedical telemetry applications. Handbook of Biomedical Telemetry: Describes the main components of a typical biomedical telemetry system, along with the technical challenges Discusses issues of spectrum regulations, standards, and interoperability—while major technical challenges related to advanced materials, miniaturization, and biocompatibility issues are also included Covers body area electromagnetics, inductive coupling, antennas for biomedical telemetry, intra-body communications, non-RF communication links for biomedical telemetry (optical biotelemetry), as well as safety issues, human phantoms, and exposure assessment to high-frequency biotelemetry fields Presents biosensor network topologies and standards; context-aware sensing and multi-sensor fusion; security and privacy issues in biomedical telemetry; and the connection between biomedical telemetry and telemedicine Introduces clinical applications of Body Sensor Networks (BSNs) in addition to selected examples of wearable, implantable, ingestible devices, stimulator and integrated mobile healthcare system paradigms for monitoring and therapeutic intervention Covering biomedical telemetry devices, biosensor network topologies and standards, clinical applications, wearable and implantable devices, and the effects on the mobile healthcare system, this compendium is a must-have for professional engineers, researchers, and graduate students.



Models And Algorithms For Biomolecules And Molecular Networks


Models And Algorithms For Biomolecules And Molecular Networks
DOWNLOAD
Author : Bhaskar DasGupta
language : en
Publisher: John Wiley & Sons
Release Date : 2016-01-06

Models And Algorithms For Biomolecules And Molecular Networks written by Bhaskar DasGupta and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-01-06 with Science categories.


By providing expositions to modeling principles, theories, computational solutions, and open problems, this reference presents a full scope on relevant biological phenomena, modeling frameworks, technical challenges, and algorithms. Up-to-date developments of structures of biomolecules, systems biology, advanced models, and algorithms Sampling techniques for estimating evolutionary rates and generating molecular structures Accurate computation of probability landscape of stochastic networks, solving discrete chemical master equations End-of-chapter exercises



Foundations Of Fuzzy Logic And Soft Computing


Foundations Of Fuzzy Logic And Soft Computing
DOWNLOAD
Author : Patricia Melin
language : en
Publisher: Springer Science & Business Media
Release Date : 2007-06-05

Foundations Of Fuzzy Logic And Soft Computing written by Patricia Melin and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2007-06-05 with Business & Economics categories.


This book comprises a selection of papers from IFSA 2007 on new methods and theories that contribute to the foundations of fuzzy logic and soft computing. Coverage includes the application of fuzzy logic and soft computing in flexible querying, philosophical and human-scientific aspects of soft computing, search engine and information processing and retrieval, as well as intelligent agents and knowledge ant colony.