Singular Spectrum Analysis Of Biomedical Signals

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Singular Spectrum Analysis of Biomedical Signals

Saeid Sanei,Hossein Hassani
Singular Spectrum Analysis of Biomedical Signals Book PDF

Author : Saeid Sanei,Hossein Hassani
Publisher : CRC Press
Page : 260 pages
File Size : 47,7 Mb
Release : 2015-12-23
Category : Medical
ISBN : 9781466589285

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Singular Spectrum Analysis of Biomedical Signals by Saeid Sanei,Hossein Hassani Pdf

Recent advancements in signal processing and computerised methods are expected to underpin the future progress of biomedical research and technology, particularly in measuring and assessing signals and images from the human body. This book focuses on singular spectrum analysis (SSA), an effective approach for single channel signal analysis, and its bivariate, multivariate, tensor based, complex-valued, quaternion-valued and robust variants. SSA currently has numerous applications in detecting abnormalities in quasi-periodic biosignals, such as electrocardiograms, (ECGs or EKGs), oxygen levels, arterial pressure, and electroencephalograms (EEGs). Singular Spectrum Analysis of Biomedical Signals presents relatively newly applied concepts for biomedical applications of SSA, including: Signal source separation, extraction, decomposition, and factorization Physiological, biological, and biochemical signal processing A new SSA grouping algorithm for filtering and noise reduction of genetics data Prediction of various clinical events The book introduces a new mathematical and signal processing technique for the decomposition of widely available single channel biomedical data. It also provides illustrations of new signal processing results in the form of signals, graphs, images, and tables to reinforce understanding of the related concepts. Singular Spectrum Analysis of Biomedical Signals enhances current clinical knowledge and aids physicians in improving diagnosis, treatment and monitoring some clinical abnormalities. It also lays groundwork for progress in SSA by making suggestions for future research.

Biomedical Signal Analysis

Rangaraj M. Rangayyan
Biomedical Signal Analysis Book PDF

Author : Rangaraj M. Rangayyan
Publisher : John Wiley & Sons
Page : 722 pages
File Size : 54,5 Mb
Release : 2015-06-08
Category : Science
ISBN : 9780470911396

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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

Practical Biomedical Signal Analysis Using MATLAB®

Katarzyn J. Blinowska,Jaroslaw Zygierewicz
Practical Biomedical Signal Analysis Using MATLAB Book PDF

Author : Katarzyn J. Blinowska,Jaroslaw Zygierewicz
Publisher : CRC Press
Page : 326 pages
File Size : 51,9 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.

Practical Biomedical Signal Analysis Using MATLAB®

Katarzyna J. Blinowska,Jarosław Żygierewicz
Practical Biomedical Signal Analysis Using MATLAB Book PDF

Author : Katarzyna J. Blinowska,Jarosław Żygierewicz
Publisher : CRC Press
Page : 370 pages
File Size : 54,8 Mb
Release : 2021-10-18
Category : Medical
ISBN : 9780429775734

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Practical Biomedical Signal Analysis Using MATLAB® by Katarzyna J. Blinowska,Jarosław Żygierewicz Pdf

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.

Singular Spectrum Analysis for Time Series

Nina Golyandina,Anatoly Zhigljavsky
Singular Spectrum Analysis for Time Series Book PDF

Author : Nina Golyandina,Anatoly Zhigljavsky
Publisher : Springer Nature
Page : 156 pages
File Size : 46,7 Mb
Release : 2020-11-23
Category : Mathematics
ISBN : 9783662624364

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Singular Spectrum Analysis for Time Series by Nina Golyandina,Anatoly Zhigljavsky Pdf

This book gives an overview of singular spectrum analysis (SSA). SSA is a technique of time series analysis and forecasting combining elements of classical time series analysis, multivariate statistics, multivariate geometry, dynamical systems and signal processing. SSA is multi-purpose and naturally combines both model-free and parametric techniques, which makes it a very special and attractive methodology for solving a wide range of problems arising in diverse areas. Rapidly increasing number of novel applications of SSA is a consequence of the new fundamental research on SSA and the recent progress in computing and software engineering which made it possible to use SSA for very complicated tasks that were unthinkable twenty years ago. In this book, the methodology of SSA is concisely but at the same time comprehensively explained by two prominent statisticians with huge experience in SSA. The book offers a valuable resource for a very wide readership, including professional statisticians, specialists in signal and image processing, as well as specialists in numerous applied disciplines interested in using statistical methods for time series analysis, forecasting, signal and image processing. The second edition of the book contains many updates and some new material including a thorough discussion on the place of SSA among other methods and new sections on multivariate and multidimensional extensions of SSA.

Time Frequency and Wavelets in Biomedical Signal Processing

Metin Akay
Time Frequency and Wavelets in Biomedical Signal Processing Book PDF

Author : Metin Akay
Publisher : Wiley-IEEE Press
Page : 780 pages
File Size : 41,6 Mb
Release : 1998
Category : Science
ISBN : UOM:39015042176340

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Time Frequency and Wavelets in Biomedical Signal Processing by Metin Akay Pdf

Biomedical Engineering Time Frequency and Wavelets in Biomedical Signal Processing IEEE Press Series in Biomedical Engineering Metin Akay, Series Editor Endorsed by the IEEE Engineering in Medicine and Biology Society Brimming with top articles from experts in signal processing and biomedical engineering, Time Frequency and Wavelets in Biomedical Signal Processing introduces time-frequency, time-scale, wavelet transform methods, and their applications in biomedical signal processing. This edited volume incorporates the most recent developments in the field to illustrate thoroughly how the use of these time-frequency methods is currently improving the quality of medical diagnosis, including technologies for assessing pulmonary and respiratory conditions, EEGs, hearing aids, MRIs, mammograms, X rays, evoked potential signals analysis, neural networks applications, among other topics. Time Frequency and Wavelets in Biomedical Signal Processing will be of particular interest to signal processing engineers, biomedical engineers, and medical researchers. Topics covered include: Time-frequency analysis methods and biomedical applications Wavelets, wavelet packets, and matching pursuits and biomedical applications Wavelets and medical imaging Wavelets, neural networks, and fractals

Data-Centric Business and Applications

Dmytro Ageyev,Tamara Radivilova,Natalia Kryvinska
Data Centric Business and Applications Book PDF

Author : Dmytro Ageyev,Tamara Radivilova,Natalia Kryvinska
Publisher : Springer Nature
Page : 452 pages
File Size : 48,6 Mb
Release : 2021-06-04
Category : Computers
ISBN : 9783030718923

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Data-Centric Business and Applications by Dmytro Ageyev,Tamara Radivilova,Natalia Kryvinska Pdf

This book, building on the authors’ previous work, presents new communication and networking technologies, challenges and opportunities of information/data processing and transmission. It also discusses the development of more intelligent and efficient communication technologies, which are an essential part of current day-to-day life. Information and Communication Technologies (ICTs) have an enormous impact on businesses and our day-to-day lives over the past three decades and continue to do so. Modern methods of business information processing are opening exciting new opportunities for doing business on the basis of information technologies. The book contains research that spans a wide range of communication and networking technologies, including wireless sensor networks, optical and telecommunication networks, storage area networks, error-free transmission and signal processing.

Biomedical Signal Analysis for Connected Healthcare

Sridhar Krishnan
Biomedical Signal Analysis for Connected Healthcare Book PDF

Author : Sridhar Krishnan
Publisher : Elsevier
Page : 340 pages
File Size : 46,5 Mb
Release : 2021-06-25
Category : Technology & Engineering
ISBN : 9780128130865

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Biomedical Signal Analysis for Connected Healthcare by Sridhar Krishnan Pdf

Biomedical Signal Analysis for Connected Healthcare provides rigorous coverage on several generations of techniques, including time domain approaches for event detection, spectral analysis for interpretation of clinical events of interest, time-varying signal processing for understanding dynamical aspects of complex biomedical systems, the application of machine learning principles in enhanced clinical decision-making, the application of sparse techniques and compressive sensing in providing low-power applications that are essential for wearable designs, the emerging paradigms of the Internet of Things, and connected healthcare. Provides comprehensive coverage of biomedical engineering, technologies, and healthcare applications of various physiological signals Covers vital signals, including ECG, EEG, EMG and body sounds Includes case studies and MATLAB code for selected applications

Brain Seizure Detection and Classification Using EEG Signals

Varsha K. Harpale,Vinayak Bairagi
Brain Seizure Detection and Classification Using EEG Signals Book PDF

Author : Varsha K. Harpale,Vinayak Bairagi
Publisher : Academic Press
Page : 176 pages
File Size : 43,7 Mb
Release : 2021-09-09
Category : Science
ISBN : 9780323911214

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Brain Seizure Detection and Classification Using EEG Signals by Varsha K. Harpale,Vinayak Bairagi Pdf

Brain Seizure Detection and Classification Using Electroencephalographic Signals presents EEG signal processing and analysis with high performance feature extraction. The book covers the feature selection method based on One-way ANOVA, along with high performance machine learning classifiers for the classification of EEG signals in normal and epileptic EEG signals. In addition, the authors also present new methods of feature extraction, including Singular Spectrum-Empirical Wavelet Transform (SSEWT) for improved classification of seizures in significant seizure-types, specifically epileptic and Non-Epileptic Seizures (NES). The performance of the system is compared with existing methods of feature extraction using Wavelet Transform (WT) and Empirical Wavelet Transform (EWT). The book's objective is to analyze the EEG signals to observe abnormalities of brain activities called epileptic seizure. Seizure is a neurological disorder in which too many neurons are excited at the same time and are triggered by brain injury or by chemical imbalance. Presents EEG signal processing and analysis concepts with high performance feature extraction Discusses recent trends in seizure detection, prediction and classification methodologies Helps classify epileptic and non-epileptic seizures where misdiagnosis may lead to the unnecessary use of antiepileptic medication Provides new guidance and technical discussions on feature-extraction methods and feature selection methods based on One-way ANOVA, along with high performance machine learning classifiers for classification of EEG signals in normal and epileptic EEG signals, and new methods of feature extraction developed by the authors, including Singular Spectrum-Empirical Wavelet

Biomedical Signal Processing

Metin Akay
Biomedical Signal Processing Book PDF

Author : Metin Akay
Publisher : Academic Press
Page : 377 pages
File Size : 51,6 Mb
Release : 2012-12-02
Category : Medical
ISBN : 9780323140140

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Biomedical Signal Processing by Metin Akay Pdf

Sophisticated techniques for signal processing are now available to the biomedical specialist! Written in an easy-to-read, straightforward style, Biomedical Signal Processing presents techniques to eliminate background noise, enhance signal detection, and analyze computer data, making results easy to comprehend and apply. In addition to examining techniques for electrical signal analysis, filtering, and transforms, the author supplies an extensive appendix with several computer programs that demonstrate techniques presented in the text.

ICASI 2019

Rahmat Hidayat,Mesran,Tengku Mohd Diansyah,Supriyanto,Dodi Siregar
ICASI 2019 Book PDF

Author : Rahmat Hidayat,Mesran,Tengku Mohd Diansyah,Supriyanto,Dodi Siregar
Publisher : European Alliance for Innovation
Page : 800 pages
File Size : 50,5 Mb
Release : 2019-11-26
Category : Education
ISBN : 9781631902086

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ICASI 2019 by Rahmat Hidayat,Mesran,Tengku Mohd Diansyah,Supriyanto,Dodi Siregar Pdf

As an annual event, THE 2ND INTERNATIONAL CONFERENCE ON ADVANCE & SCIENTIFIC INNOVATION 2019 continued the agenda to bring together researcher, academics, experts and professionals in examining about Scientific Innovation in technology, education, management, accounting and many aspect area. In 2019, this event held in 18 July 2019 at Politeknik Kutaraja, Banda Aceh, Indonesia. This ICASI Proceeding 2019 are published along with article from ICASI 2018 and each contributed paper was refereed before being accepted for publication. The double-blind peer reviewed was used in the paper selection.

Biomedical Signal Analysis

Rangaraj M. Rangayyan
Biomedical Signal Analysis Book PDF

Author : Rangaraj M. Rangayyan
Publisher : Wiley-IEEE Press
Page : 560 pages
File Size : 40,9 Mb
Release : 2002
Category : Medical
ISBN : UOM:39015056787958

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Biomedical Signal Analysis by Rangaraj M. Rangayyan Pdf

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

Body Sensor Networking, Design and Algorithms

Saeid Sanei,Delaram Jarchi,Anthony G. Constantinides
Body Sensor Networking Design and Algorithms Book PDF

Author : Saeid Sanei,Delaram Jarchi,Anthony G. Constantinides
Publisher : John Wiley & Sons
Page : 417 pages
File Size : 51,9 Mb
Release : 2020-07-13
Category : Technology & Engineering
ISBN : 9781119390022

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Body Sensor Networking, Design and Algorithms by Saeid Sanei,Delaram Jarchi,Anthony G. Constantinides Pdf

A complete guide to the state of the art theoretical and manufacturing developments of body sensor network, design, and algorithms In Body Sensor Networking, Design, and Algorithms, professionals in the field of Biomedical Engineering and e-health get an in-depth look at advancements, changes, and developments. When it comes to advances in the industry, the text looks at cooperative networks, noninvasive and implantable sensor microelectronics, wireless sensor networks, platforms, and optimization—to name a few. Each chapter provides essential information needed to understand the current landscape of technology and mechanical developments. It covers subjects including Physiological Sensors, Sleep Stage Classification, Contactless Monitoring, and much more. Among the many topics covered, the text also includes additions such as: ● Over 120 figures, charts, and tables to assist with the understanding of complex topics ● Design examples and detailed experimental works ● A companion website featuring MATLAB and selected data sets Additionally, readers will learn about wearable and implantable devices, invasive and noninvasive monitoring, biocompatibility, and the tools and platforms for long-term, low-power deployment of wireless communications. It’s an essential resource for understanding the applications and practical implementation of BSN when it comes to elderly care, how to manage patients with chronic illnesses and diseases, and use cases for rehabilitation.

Singular Spectrum Analysis

Hossein Hassani,Rahim Mahmoudvand
Singular Spectrum Analysis Book PDF

Author : Hossein Hassani,Rahim Mahmoudvand
Publisher : Springer
Page : 158 pages
File Size : 40,9 Mb
Release : 2018-06-25
Category : Business & Economics
ISBN : 9781137409515

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Singular Spectrum Analysis by Hossein Hassani,Rahim Mahmoudvand Pdf

This book provides a broad introduction to computational aspects of Singular Spectrum Analysis (SSA) which is a non-parametric technique and requires no prior assumptions such as stationarity, normality or linearity of the series. This book is unique as it not only details the theoretical aspects underlying SSA, but also provides a comprehensive guide enabling the user to apply the theory in practice using the R software. Further, it provides the user with step- by- step coding and guidance for the practical application of the SSA technique to analyze their time series databases using R. The first two chapters present basic notions of univariate and multivariate SSA and their implementations in R environment. The next chapters discuss the applications of SSA to change point detection, missing-data imputation, smoothing and filtering. This book is appropriate for researchers, upper level students (masters level and beyond) and practitioners wishing to revive their knowledge of times series analysis or to quickly learn about the main mechanisms of SSA.

Biomedical Signal Analysis

Fabian J. Theis,Anke Meyer-Bäse
Biomedical Signal Analysis Book PDF

Author : Fabian J. Theis,Anke Meyer-Bäse
Publisher : MIT Press
Page : 438 pages
File Size : 54,8 Mb
Release : 2010
Category : Computers
ISBN : 9780262013284

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Biomedical Signal Analysis by Fabian J. Theis,Anke Meyer-Bäse Pdf

A comprehensive introduction to innovative methods in the field of biomedical signal analysis, covering both theory and practice. Biomedical signal analysis has become one of the most important visualization and interpretation methods in biology and medicine. Many new and powerful instruments for detecting, storing, transmitting, analyzing, and displaying images have been developed in recent years, allowing scientists and physicians to obtain quantitative measurements to support scientific hypotheses and medical diagnoses. This book offers an overview of a range of proven and new methods, discussing both theoretical and practical aspects of biomedical signal analysis and interpretation.After an introduction to the topic and a survey of several processing and imaging techniques, the book describes a broad range of methods, including continuous and discrete Fourier transforms, independent component analysis (ICA), dependent component analysis, neural networks, and fuzzy logic methods. The book then discusses applications of these theoretical tools to practical problems in everyday biosignal processing, considering such subjects as exploratory data analysis and low-frequency connectivity analysis in fMRI, MRI signal processing including lesion detection in breast MRI, dynamic cerebral contrast-enhanced perfusion MRI, skin lesion classification, and microscopic slice image processing and automatic labeling. Biomedical Signal Analysis can be used as a text or professional reference. Part I, on methods, forms a self-contained text, with exercises and other learning aids, for upper-level undergraduate or graduate-level students. Researchers or graduate students in systems biology, genomic signal processing, and computer-assisted radiology will find both parts I and II (on applications) a valuable handbook.