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Multiscale Entropy Approaches And Their Applications


Multiscale Entropy Approaches And Their Applications
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Multiscale Entropy Approaches And Their Applications


Multiscale Entropy Approaches And Their Applications
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Author : Anne Humeau-Heurtier
language : en
Publisher: MDPI
Release Date : 2020-11-06

Multiscale Entropy Approaches And Their Applications written by Anne Humeau-Heurtier and has been published by MDPI this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-11-06 with Technology & Engineering categories.


Multiscale entropy (MSE) measures to evaluate the complexity of time series by taking into account the multiple time scales in physical systems were proposed in the early 2000s. Since then, these approaches have received a great deal of attention and have been used in a wide range of applications. Multivariate approaches have also been developed. The algorithms for an MSE approach are composed of two main steps: (i) a coarse-graining procedure to represent the system’s dynamics on different scales and (ii) the entropy computation for the original signal and for the coarse-grained time series to evaluate the irregularity for each scale. Moreover, different entropy measures have been associated with the coarse-graining approach, each one having its advantages and drawbacks. In this Special Issue, we gathered 24 papers focusing on either the theory or applications of MSE approaches. These papers can be divided into two groups: papers that propose new developments in entropy-based measures or improve the understanding of existing ones (9 papers) and papers that propose new applications of existing entropy-based measures (14 papers). Moreover, one paper presents a review of cross-entropy methods and their multiscale approaches.



Multiscale Entropy Approaches And Their Applications


Multiscale Entropy Approaches And Their Applications
DOWNLOAD
Author : Anne Humeau-Heurtier
language : en
Publisher:
Release Date : 2020

Multiscale Entropy Approaches And Their Applications written by Anne Humeau-Heurtier and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020 with categories.


Multiscale entropy (MSE) measures to evaluate the complexity of time series by taking into account the multiple time scales in physical systems were proposed in the early 2000s. Since then, these approaches have received a great deal of attention and have been used in a wide range of applications. Multivariate approaches have also been developed. The algorithms for an MSE approach are composed of two main steps: (i) a coarse-graining procedure to represent the system's dynamics on different scales and (ii) the entropy computation for the original signal and for the coarse-grained time series to evaluate the irregularity for each scale. Moreover, different entropy measures have been associated with the coarse-graining approach, each one having its advantages and drawbacks. In this Special Issue, we gathered 24 papers focusing on either the theory or applications of MSE approaches. These papers can be divided into two groups: papers that propose new developments in entropy-based measures or improve the understanding of existing ones (9 papers) and papers that propose new applications of existing entropy-based measures (14 papers). Moreover, one paper presents a review of cross-entropy methods and their multiscale approaches.



Practical Biomedical Signal Analysis Using Matlab


Practical Biomedical Signal Analysis Using Matlab
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Author : Katarzyn Blinowska
language : en
Publisher: CRC Press
Release Date : 2011-09-12

Practical Biomedical Signal Analysis Using Matlab written by Katarzyn 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 o



Assessing Complexity In Physiological Systems Through Biomedical Signals Analysis


Assessing Complexity In Physiological Systems Through Biomedical Signals Analysis
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Author : Paolo Castiglioni
language : en
Publisher: MDPI
Release Date : 2021-03-02

Assessing Complexity In Physiological Systems Through Biomedical Signals Analysis written by Paolo Castiglioni and has been published by MDPI this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-03-02 with Mathematics categories.


Complexity is a ubiquitous phenomenon in physiology that allows living systems to adapt to external perturbations. Fractal structures, self-organization, nonlinearity, interactions at different scales, and interconnections among systems through anatomical and functional networks, may originate complexity. Biomedical signals from physiological systems may carry information about the system complexity useful to identify physiological states, monitor health, and predict pathological events. Therefore, complexity analysis of biomedical signals is a rapidly evolving field aimed at extracting information on the physiological systems. This book consists of 16 contributions from authors with a strong scientific background in biomedical signals analysis. It includes reviews on the state-of-the-art of complexity studies in specific medical applications, new methods to improve complexity quantifiers, and novel complexity analyses in physiological or clinical scenarios. It presents a wide spectrum of methods investigating the entropic properties, multifractal structure, self-organized criticality, and information dynamics of biomedical signals touching upon three physiological areas: the cardiovascular system, the central nervous system, the heart-brain interactions. The book is aimed at experienced researchers in signal analysis and presents the latest trends in the complexity methods in physiology and medicine with the hope of inspiring future works advancing this fascinating area of research.



Handbook Of Texture Analysis


Handbook Of Texture Analysis
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Author : Ayman El-Baz
language : en
Publisher: CRC Press
Release Date : 2024-06-24

Handbook Of Texture Analysis written by Ayman El-Baz and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-06-24 with Computers categories.


The major goals of texture research in computer vision are to understand, model, and process texture, and ultimately, to simulate the human visual learning process using computer technologies. In the last decade, artificial intelligence has been revolutionized by machine learning and big data approaches, outperforming human prediction on a wide range of problems. In particular, deep learning convolutional neural networks (CNNs) are particularly well suited to texture analysis. This book examines four major application domains related to texture analysis and their relationship to AI-based industrial applications: texture classification, texture segmentation, shape from texture, and texture synthesis. This volume: Discusses texture-based segmentation for extracting image shape features, modeling and segmentation of noisy and textured images, spatially constrained color-texture model for image segmentation, and texture segmentation using Gabor filters Examines textural features for image classification, a statistical approach for classification, texture classification from random features, and applications of texture classifications Describes shape from texture, including general principles, 3D shapes, and equations for recovering shape from texture Surveys texture modeling, including extraction based on Hough transformation and cycle detection, image quilting, gray level run lengths, and use of Markov random fields Aimed at researchers, academics, and advanced students in biomedical engineering, image analysis, cognitive science, and computer science and engineering, this is an essential reference for those looking to advance their understanding in this applied and emergent field.



Fuzzy Recurrence Plots And Networks With Applications In Biomedicine


Fuzzy Recurrence Plots And Networks With Applications In Biomedicine
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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.



Complexity And Nonlinearity In Cardiovascular Signals


Complexity And Nonlinearity In Cardiovascular Signals
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Author : Riccardo Barbieri
language : en
Publisher: Springer
Release Date : 2017-08-09

Complexity And Nonlinearity In Cardiovascular Signals written by Riccardo Barbieri and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-08-09 with Medical categories.


This book reports on the latest advances in complex and nonlinear cardiovascular physiology aimed at obtaining reliable, effective markers for the assessment of heartbeat, respiratory, and blood pressure dynamics. The chapters describe in detail methods that have been previously defined in theoretical physics such as entropy, multifractal spectra, and Lyapunov exponents, contextualized within physiological dynamics of cardiovascular control, including autonomic nervous system activity. Additionally, the book discusses several application scenarios of these methods. The text critically reviews the current state-of-the-art research in the field that has led to the description of dedicated experimental protocols and ad-hoc models of complex physiology. This text is ideal for biomedical engineers, physiologists, and neuroscientists. This book also: Expertly reviews cutting-edge research, such as recent advances in measuring complexity, nonlinearity, and information-theoretic concepts applied to coupled dynamical systems Comprehensively describes applications of analytic technique to clinical scenarios such as heart failure, depression and mental disorders, atrial fibrillation, acute brain lesions, and more Broadens readers' understanding of cardiovascular signals, heart rate complexity, heart rate variability, and nonlinear analysis



Handbook Of Massive Data Sets


Handbook Of Massive Data Sets
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Author : James Abello
language : en
Publisher: Springer
Release Date : 2013-12-21

Handbook Of Massive Data Sets written by James Abello and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-12-21 with Computers categories.


The proliferation of massive data sets brings with it a series of special computational challenges. This "data avalanche" arises in a wide range of scientific and commercial applications. With advances in computer and information technologies, many of these challenges are beginning to be addressed by diverse inter-disciplinary groups, that indude computer scientists, mathematicians, statisticians and engineers, working in dose cooperation with application domain experts. High profile applications indude astrophysics, bio-technology, demographics, finance, geographi cal information systems, government, medicine, telecommunications, the environment and the internet. John R. Tucker of the Board on Mathe matical Seiences has stated: "My interest in this problern (Massive Data Sets) isthat I see it as the rnost irnportant cross-cutting problern for the rnathernatical sciences in practical problern solving for the next decade, because it is so pervasive. " The Handbook of Massive Data Sets is comprised of articles writ ten by experts on selected topics that deal with some major aspect of massive data sets. It contains chapters on information retrieval both in the internet and in the traditional sense, web crawlers, massive graphs, string processing, data compression, dustering methods, wavelets, op timization, external memory algorithms and data structures, the US national duster project, high performance computing, data warehouses, data cubes, semi-structured data, data squashing, data quality, billing in the large, fraud detection, and data processing in astrophysics, air pollution, biomolecular data, earth observation and the environment.



Brain Computer Interface


Brain Computer Interface
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Author :
language : en
Publisher: BoD – Books on Demand
Release Date : 2022-05-18

Brain Computer Interface written by and has been published by BoD – Books on Demand this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-05-18 with Medical categories.


Brain-computer interfacing (BCI) with the use of advanced artificial intelligence identification is a rapidly growing new technology that allows a silently commanding brain to manipulate devices ranging from smartphones to advanced articulated robotic arms when physical control is not possible. BCI can be viewed as a collaboration between the brain and a device via the direct passage of electrical signals from neurons to an external system. The book provides a comprehensive summary of conventional and novel methods for processing brain signals. The chapters cover a range of topics including noninvasive and invasive signal acquisition, signal processing methods, deep learning approaches, and implementation of BCI in experimental problems.



Industrial Networks And Intelligent Systems


Industrial Networks And Intelligent Systems
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Author : Yuanfang Chen
language : en
Publisher: Springer
Release Date : 2018-01-11

Industrial Networks And Intelligent Systems written by Yuanfang Chen and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-01-11 with Computers categories.


This book constitutes the thoroughly refereed post-conference proceedings of the Third International Conference on Industrial Networks and Intelligent Systems, INISCOM 2017, held in Ho chi Minh City, Vietnam, in September 2017. The 31 revised full papers carefully reviewed and selected from 45 submissions. The papers cover topics on telecommunications systems and networks, intelligent systems, industrial networks, and applications, computer science, security and privacy, hardware and software design.