Bioelectrical Signal Processing In Cardiac And Neurological Applications

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Bioelectrical Signal Processing in Cardiac and Neurological Applications

Author : Leif Sörnmo,Pablo Laguna
Publisher : Academic Press
Page : 690 pages
File Size : 54,8 Mb
Release : 2005-06-15
Category : Medical
ISBN : 9780124375529

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Bioelectrical Signal Processing in Cardiac and Neurological Applications by Leif Sörnmo,Pablo Laguna Pdf

The analysis of bioelectrical signals continues to receive wide attention in research as well as commercially because novel signal processing techniques have helped to uncover valuable information for improved diagnosis and therapy. This book takes a unique problem-driven approach to biomedical signal processing by considering a wide range of problems in cardiac and neurological applications-the two "heavyweight" areas of biomedical signal processing. The interdisciplinary nature of the topic is reflected in how the text interweaves physiological issues with related methodological considerations. Bioelectrical Signal Processing is suitable for a final year undergraduate or graduate course as well as for use as an authoritative reference for practicing engineers, physicians, and researchers. A problem-driven, interdisciplinary presentation of biomedical signal processing Focus on methods for processing of bioelectrical signals (ECG, EEG, evoked potentials, EMG) Covers both classical and recent signal processing techniques Emphasis on model-based statistical signal processing Comprehensive exercises and illustrations Extensive bibliography

Understanding Atrial Fibrillation, the Signal Processing Contribution

Author : Luca Mainardi,Leif Sörnmo,Sergio Cerutti
Publisher : Morgan & Claypool Publishers
Page : 242 pages
File Size : 50,8 Mb
Release : 2008
Category : Arrhythmia
ISBN : 9781598292961

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Understanding Atrial Fibrillation, the Signal Processing Contribution by Luca Mainardi,Leif Sörnmo,Sergio Cerutti Pdf

The book presents recent advances in signal processing techniques for modeling, analysis, and understanding of the heart's electrical activity during atrial fibrillation. This arrhythmia is the most commonly encountered in clinical practice and its complex and metamorphic nature represents a challenging problem for clinicians, engineers, and scientists. Research on atrial fibrillation has stimulated the development of a wide range of signal processing tools to better understand the mechanisms ruling its initiation, maintenance, and termination. This book provides undergraduate and graduate students, as well as researchers and practicing engineers, with an overview of techniques, including time domain techniques for atrial wave extraction, time-frequency analysis for exploring wave dynamics, and nonlinear techniques to characterize the ventricular response and the organization of atrial activity. The book includes an introductory chapter about atrial fibrillation and its mechanisms, treatment, and management. The successive chapters are dedicated to the analysis of atrial signals recorded on the body surface and to the quantification of ventricular response. The rest of the book explores techniques to characterize endo- and epicardial recordings and to model atrial conduction. Under the appearance of being a monothematic book on atrial fibrillation, the reader will not only recognize common problems of biomedical signal processing but also discover that analysis of atrial fibrillation is a unique challenge for developing and testing novel signal processing tools.

Applications, Challenges, and Advancements in Electromyography Signal Processing

Author : Naik, Ganesh R.
Publisher : IGI Global
Page : 404 pages
File Size : 50,7 Mb
Release : 2014-05-31
Category : Technology & Engineering
ISBN : 9781466660915

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Applications, Challenges, and Advancements in Electromyography Signal Processing by Naik, Ganesh R. Pdf

"This book provides an updated overview of signal processing applications and recent developments in EMG from a number of diverse aspects and various applications in clinical and experimental research"--Provided by publisher.

Developments and Applications for ECG Signal Processing

Author : Joao Paulo do Vale Madeiro,Paulo Cesar Cortez,José Maria Da Silva Monteiro Filho,Angelo Roncalli Alencar Brayner
Publisher : Academic Press
Page : 210 pages
File Size : 45,9 Mb
Release : 2018-11-29
Category : Science
ISBN : 9780128140369

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Developments and Applications for ECG Signal Processing by Joao Paulo do Vale Madeiro,Paulo Cesar Cortez,José Maria Da Silva Monteiro Filho,Angelo Roncalli Alencar Brayner Pdf

Developments and Applications for ECG Signal Processing: Modeling, Segmentation, and Pattern Recognition covers reliable techniques for ECG signal processing and their potential to significantly increase the applicability of ECG use in diagnosis. This book details a wide range of challenges in the processes of acquisition, preprocessing, segmentation, mathematical modelling and pattern recognition in ECG signals, presenting practical and robust solutions based on digital signal processing techniques. Users will find this to be a comprehensive resource that contributes to research on the automatic analysis of ECG signals and extends resources relating to rapid and accurate diagnoses, particularly for long-term signals. Chapters cover classical and modern features surrounding f ECG signals, ECG signal acquisition systems, techniques for noise suppression for ECG signal processing, a delineation of the QRS complex, mathematical modelling of T- and P-waves, and the automatic classification of heartbeats. Gives comprehensive coverage of ECG signal processing Presents development and parametrization techniques for ECG signal acquisition systems Analyzes and compares distortions caused by different digital filtering techniques for noise suppression applied over the ECG signal Describes how to identify if a digitized ECG signal presents irreversible distortion through analysis of its frequency components prior to, and after, filtering Considers how to enhance QRS complexes and differentiate these from artefacts, noise, and other characteristic waves under different scenarios

Signal Processing Techniques for Computational Health Informatics

Author : Md Atiqur Rahman Ahad,Mosabber Uddin Ahmed
Publisher : Springer Nature
Page : 347 pages
File Size : 54,7 Mb
Release : 2020-10-07
Category : Technology & Engineering
ISBN : 9783030549329

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Signal Processing Techniques for Computational Health Informatics by Md Atiqur Rahman Ahad,Mosabber Uddin Ahmed Pdf

This book focuses on signal processing techniques used in computational health informatics. As computational health informatics is the interdisciplinary study of the design, development, adoption and application of information and technology-based innovations, specifically, computational techniques that are relevant in health care, the book covers a comprehensive and representative range of signal processing techniques used in biomedical applications, including: bio-signal origin and dynamics, sensors used for data acquisition, artefact and noise removal techniques, feature extraction techniques in the time, frequency, time–frequency and complexity domain, and image processing techniques in different image modalities. Moreover, it includes an extensive discussion of security and privacy challenges, opportunities and future directions for computational health informatics in the big data age, and addresses the incorporation of recent techniques from the areas of artificial intelligence, deep learning and human–computer interaction. The systematic analysis of the state-of-the-art techniques covered here helps to further our understanding of the physiological processes involved and expandour capabilities in medical diagnosis and prognosis. In closing, the book, the first of its kind, blends state-of-the-art theory and practices of signal processing techniques inthe health informatics domain with real-world case studies building on those theories. As a result, it can be used as a text for health informatics courses to provide medics with cutting-edge signal processing techniques, or to introducehealth professionals who are already serving in this sector to some of the most exciting computational ideas that paved the way for the development of computational health informatics.

Biomedical Signal Processing for Healthcare Applications

Author : Varun Bajaj,G. R. Sinha,Chinmay Chakraborty
Publisher : CRC Press
Page : 316 pages
File Size : 53,6 Mb
Release : 2021
Category : Medical
ISBN : 100314781X

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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.

Advances in Non-Invasive Biomedical Signal Sensing and Processing with Machine Learning

Author : Saeed Mian Qaisar,Humaira Nisar,Abdulhamit Subasi
Publisher : Springer Nature
Page : 385 pages
File Size : 52,5 Mb
Release : 2023-03-01
Category : Computers
ISBN : 9783031232398

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Advances in Non-Invasive Biomedical Signal Sensing and Processing with Machine Learning by Saeed Mian Qaisar,Humaira Nisar,Abdulhamit Subasi Pdf

This book presents the modern technological advancements and revolutions in the biomedical sector. Progress in the contemporary sensing, Internet of Things (IoT) and machine learning algorithms and architectures have introduced new approaches in the mobile healthcare. A continuous observation of patients with critical health situation is required. It allows monitoring of their health status during daily life activities such as during sports, walking and sleeping. It is realizable by intelligently hybridizing the modern IoT framework, wireless biomedical implants and cloud computing. Such solutions are currently under development and in testing phases by healthcare and governmental institutions, research laboratories and biomedical companies. The biomedical signals such as electrocardiogram (ECG), electroencephalogram (EEG), Electromyography (EMG), phonocardiogram (PCG), Chronic Obstructive Pulmonary (COP), Electrooculography (EoG), photoplethysmography (PPG), and image modalities such as positron emission tomography (PET), magnetic resonance imaging (MRI) and computerized tomography (CT) are non-invasively acquired, measured, and processed via the biomedical sensors and gadgets. These signals and images represent the activities and conditions of human cardiovascular, neural, vision and cerebral systems. Multi-channel sensing of these signals and images with an appropriate granularity is required for an effective monitoring and diagnosis. It renders a big volume of data and its analysis is not feasible manually. Therefore, automated healthcare systems are in the process of evolution. These systems are mainly based on biomedical signal and image acquisition and sensing, preconditioning, features extraction and classification stages. The contemporary biomedical signal sensing, preconditioning, features extraction and intelligent machine and deep learning-based classification algorithms are described. Each chapter starts with the importance, problem statement and motivation. A self-sufficient description is provided. Therefore, each chapter can be read independently. To the best of the editors’ knowledge, this book is a comprehensive compilation on advances in non-invasive biomedical signal sensing and processing with machine and deep learning. We believe that theories, algorithms, realizations, applications, approaches, and challenges, which are presented in this book will have their impact and contribution in the design and development of modern and effective healthcare systems.

Biosignal Processing

Author : Hualou Liang,Joseph D. Bronzino,Donald R. Peterson
Publisher : CRC Press
Page : 221 pages
File Size : 44,7 Mb
Release : 2012-10-17
Category : Medical
ISBN : 9781439871430

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Biosignal Processing by Hualou Liang,Joseph D. Bronzino,Donald R. Peterson Pdf

With the rise of advanced computerized data collection systems, monitoring devices, and instrumentation technologies, large and complex datasets accrue as an inevitable part of biomedical enterprise. The availability of these massive amounts of data offers unprecedented opportunities to advance our understanding of underlying biological and physiological functions, structures, and dynamics. Biosignal Processing: Principles and Practices provides state-of-the-art coverage of contemporary methods in biosignal processing with an emphasis on brain signal analysis. After introducing the fundamentals, it presents emerging methods for brain signal processing, focusing on specific non-invasive imaging techniques such as electroencephalography (EEG), magnetoencephalography (MEG), magnetic resonance imaging (MRI), and functional near-infrared spectroscopy (fNIR). In addition, the book presents recent advances, reflecting the evolution of biosignal processing. As biomedical datasets grow larger and more complicated, the development and use of signal processing methods to analyze and interpret these data has become a matter of course. This book is one step in the development of biosignal analysis and is designed to stimulate new ideas and opportunities in the development of cutting-edge computational methods for biosignal processing.

Handbook of Research on Information Security in Biomedical Signal Processing

Author : Pradhan, Chittaranjan,Das, Himansu,Naik, Bighnaraj,Dey, Nilanjan
Publisher : IGI Global
Page : 414 pages
File Size : 41,5 Mb
Release : 2018-04-13
Category : Computers
ISBN : 9781522551539

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Handbook of Research on Information Security in Biomedical Signal Processing by Pradhan, Chittaranjan,Das, Himansu,Naik, Bighnaraj,Dey, Nilanjan Pdf

Recent advancements and innovations in medical image and data processing have led to a need for robust and secure mechanisms to transfer images and signals over the internet and maintain copyright protection. The Handbook of Research on Information Security in Biomedical Signal Processing provides emerging research on security in biomedical data as well as techniques for accurate reading and further processing. While highlighting topics such as image processing, secure access, and watermarking, this publication explores advanced models and algorithms in information security in the modern healthcare system. This publication is a vital resource for academicians, medical professionals, technology developers, researchers, students, and practitioners seeking current research on intelligent techniques in medical data security.

Biomedical Signals, Imaging, and Informatics

Author : Joseph D. Bronzino,Donald R. Peterson
Publisher : CRC Press
Page : 1472 pages
File Size : 48,6 Mb
Release : 2014-12-16
Category : Medical
ISBN : 9781439825273

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Biomedical Signals, Imaging, and Informatics by Joseph D. Bronzino,Donald R. Peterson Pdf

Known as the bible of biomedical engineering, The Biomedical Engineering Handbook, Fourth Edition, sets the standard against which all other references of this nature are measured. As such, it has served as a major resource for both skilled professionals and novices to biomedical engineering. Biomedical Signals, Imaging, and Informatics, the third volume of the handbook, presents material from respected scientists with diverse backgrounds in biosignal processing, medical imaging, infrared imaging, and medical informatics. More than three dozen specific topics are examined, including biomedical signal acquisition, thermographs, infrared cameras, mammography, computed tomography, positron-emission tomography, magnetic resonance imaging, hospital information systems, and computer-based patient records. The material is presented in a systematic manner and has been updated to reflect the latest applications and research findings.

The Biomedical Engineering Handbook

Author : Joseph D. Bronzino,Donald R. Peterson
Publisher : CRC Press
Page : 5430 pages
File Size : 45,7 Mb
Release : 2018-10-03
Category : Medical
ISBN : 9781439863114

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The Biomedical Engineering Handbook by Joseph D. Bronzino,Donald R. Peterson Pdf

The definitive "bible" for the field of biomedical engineering, this collection of volumes is a major reference for all practicing biomedical engineers and students. Now in its fourth edition, this work presents a substantial revision, with all sections updated to offer the latest research findings. New sections address drugs and devices, personali

Sensing and Signal Processing in Smart Healthcare

Author : Wenbing Zhao,Srinivas Sampalli
Publisher : MDPI
Page : 198 pages
File Size : 46,9 Mb
Release : 2021-01-29
Category : Technology & Engineering
ISBN : 9783036500263

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Sensing and Signal Processing in Smart Healthcare by Wenbing Zhao,Srinivas Sampalli Pdf

In the last decade, we have witnessed the rapid development of electronic technologies that are transforming our daily lives. Such technologies are often integrated with various sensors that facilitate the collection of human motion and physiological data and are equipped with wireless communication modules such as Bluetooth, radio frequency identification, and near-field communication. In smart healthcare applications, designing ergonomic and intuitive human–computer interfaces is crucial because a system that is not easy to use will create a huge obstacle to adoption and may significantly reduce the efficacy of the solution. Signal and data processing is another important consideration in smart healthcare applications because it must ensure high accuracy with a high level of confidence in order for the applications to be useful for clinicians in making diagnosis and treatment decisions. This Special Issue is a collection of 10 articles selected from a total of 26 contributions. These contributions span the areas of signal processing and smart healthcare systems mostly contributed by authors from Europe, including Italy, Spain, France, Portugal, Romania, Sweden, and Netherlands. Authors from China, Korea, Taiwan, Indonesia, and Ecuador are also included.

ECG Signal Processing, Classification and Interpretation

Author : Adam Gacek,Witold Pedrycz
Publisher : Springer Science & Business Media
Page : 278 pages
File Size : 45,9 Mb
Release : 2011-09-18
Category : Technology & Engineering
ISBN : 0857298682

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ECG Signal Processing, Classification and Interpretation by Adam Gacek,Witold Pedrycz Pdf

The book shows how the various paradigms of computational intelligence, employed either singly or in combination, can produce an effective structure for obtaining often vital information from ECG signals. The text is self-contained, addressing concepts, methodology, algorithms, and case studies and applications, providing the reader with the necessary background augmented with step-by-step explanation of the more advanced concepts. It is structured in three parts: Part I covers the fundamental ideas of computational intelligence together with the relevant principles of data acquisition, morphology and use in diagnosis; Part II deals with techniques and models of computational intelligence that are suitable for signal processing; and Part III details ECG system-diagnostic interpretation and knowledge acquisition architectures. Illustrative material includes: brief numerical experiments; detailed schemes, exercises and more advanced problems.

Biomedical Engineering and its Applications in Healthcare

Author : Sudip Paul
Publisher : Springer Nature
Page : 738 pages
File Size : 47,5 Mb
Release : 2019-11-08
Category : Medical
ISBN : 9789811337055

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Biomedical Engineering and its Applications in Healthcare by Sudip Paul Pdf

This book illustrates the significance of biomedical engineering in modern healthcare systems. Biomedical engineering plays an important role in a range of areas, from diagnosis and analysis to treatment and recovery and has entered the public consciousness through the proliferation of implantable medical devices, such as pacemakers and artificial hips, as well as the more futuristic technologies such as stem cell engineering and 3-D printing of biological organs. Starting with an introduction to biomedical engineering, the book then discusses various tools and techniques for medical diagnostics and treatment and recent advances. It also provides comprehensive and integrated information on rehabilitation engineering, including the design of artificial body parts, and the underlying principles, and standards. It also presents a conceptual framework to clarify the relationship between ethical policies in medical practice and philosophical moral reasoning. Lastly, the book highlights a number of challenges associated with modern healthcare technologies.

Computational Tools and Techniques for Biomedical Signal Processing

Author : Singh, Butta
Publisher : IGI Global
Page : 415 pages
File Size : 48,7 Mb
Release : 2016-08-12
Category : Technology & Engineering
ISBN : 9781522506614

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Computational Tools and Techniques for Biomedical Signal Processing by Singh, Butta Pdf

Biomedical signal processing in the medical field has helped optimize patient care and diagnosis within medical facilities. As technology in this area continues to advance, it has become imperative to evaluate other ways these computation techniques could be implemented. Computational Tools and Techniques for Biomedical Signal Processing investigates high-performance computing techniques being utilized in hospital information systems. Featuring comprehensive coverage on various theoretical perspectives, best practices, and emergent research in the field, this book is ideally suited for computer scientists, information technologists, biomedical engineers, data-processing specialists, and medical physicists interested in signal processing within medical systems and facilities.