Biomedical Signal Analysis For Connected Healthcare
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Biomedical Signal Analysis For Connected Healthcare
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Author : Sridhar Krishnan
language : en
Publisher: Elsevier
Release Date : 2021-06-25
Biomedical Signal Analysis For Connected Healthcare written by Sridhar Krishnan and has been published by Elsevier this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-06-25 with Technology & Engineering categories.
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
Biomedical Signal Processing For Healthcare Applications
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Author : Varun Bajaj
language : en
Publisher: CRC Press
Release Date : 2021-07-21
Biomedical Signal Processing For Healthcare Applications written by Varun Bajaj and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-07-21 with Technology & Engineering categories.
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.
Biomedical Signal Processing And Artificial Intelligence In Healthcare
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Author : Walid A. Zgallai
language : en
Publisher: Academic Press
Release Date : 2020-08-19
Biomedical Signal Processing And Artificial Intelligence In Healthcare written by Walid A. Zgallai and has been published by Academic Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-08-19 with Technology & Engineering categories.
Biomedical Signal Processing with Artificial Intelligence, a new volume in the Developments in Biomedical Engineering and Bioelectronics series, covers the basics of analog and digital data and data acquisition. The book explains the role of smart sensors, smart materials and wearables in relation to biomedical signals. It also provides background to statistical analysis in biomedical systems. Several types of biomedical signals are introduced and analyzed, including ECG and EEG signals. The role of Machine Learning, including Deep Learning, Neural Networks, and the implications of the expansion of artificial intelligence is also covered, as are biomedical images and their segmentation, classification and detection. This book covers all aspects of signals, from acquisition, the use of hardware and software, analyzing signals, and making use of AI in problem-solving. Developments in Biomedical Engineering and Bioelectronics is a 10-volume series which covers recent developments, trends and advances in this field. Edited by leading academics in the field, and taking a multidisciplinary approach, this series is a forum for cutting-edge, contemporary review articles and contributions from key 'up-and-coming' academics across the full subject area. Presents comprehensive coverage and the latest advances and applications in biomedical signal processing Contains contributions from recognized researchers and field leaders Includes online presentations, tutorials, applications and algorithm examples
Biomedical Signal Processing
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Author : Iyad Obeid
language : en
Publisher: Springer Nature
Release Date : 2021-04-12
Biomedical Signal Processing written by Iyad Obeid and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-04-12 with Technology & Engineering categories.
This book provides an interdisciplinary look at emerging trends in signal processing and biomedicine found at the intersection of healthcare, engineering, and computer science. It examines the vital role signal processing plays in enabling a new generation of technology based on big data, and looks at applications ranging from medical electronics to data mining of electronic medical records. Topics covered include analysis of medical images, machine learning, biomedical nanosensors, wireless technologies, and instrumentation and electrical stimulation. Biomedical Signal Processing: Innovation and Applications presents tutorials and examples of successful applications, and will appeal to a wide range of professionals, researchers, and students interested in applications of signal processing, medicine, and biology.
Biomedical Signal Analysis
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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
Biomedical Signal Analysis A Case Study Approach
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Author : By RANGARAJ M. RANGAYYAN
language : en
Publisher:
Release Date : 2009-08-01
Biomedical Signal Analysis A Case Study Approach written by By RANGARAJ M. RANGAYYAN and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2009-08-01 with categories.
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.
Practical Biomedical Signal Analysis Using Matlab
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Author : Katarzyna J. Blinowska
language : en
Publisher: CRC Press
Release Date : 2021-10-18
Practical Biomedical Signal Analysis Using Matlab written by Katarzyna J. 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 2021-10-18 with Medical categories.
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.
Biomedical Signal And Image Processing In Patient Care
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Author : Kolekar, Maheshkumar H.
language : en
Publisher: IGI Global
Release Date : 2017-08-11
Biomedical Signal And Image Processing In Patient Care written by Kolekar, Maheshkumar H. and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-08-11 with Technology & Engineering categories.
In healthcare systems, medical devices help physicians and specialists in diagnosis, prognosis, and therapeutics. As research shows, validation of medical devices is significantly optimized by accurate signal processing. Biomedical Signal and Image Processing in Patient Care is a pivotal reference source for progressive research on the latest development of applications and tools for healthcare systems. Featuring extensive coverage on a broad range of topics and perspectives such as telemedicine, human machine interfaces, and multimodal data fusion, this publication is ideally designed for academicians, researchers, students, and practitioners seeking current scholarly research on real-life technological inventions.
Practical Biomedical Signal Analysis Using Matlab
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Author : Katarzyn J. Blinowska
language : en
Publisher: CRC Press
Release Date : 2011-09-12
Practical Biomedical Signal Analysis Using Matlab written by Katarzyn J. 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 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 Analysis For Connected Healthcare
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Author : Sridhar Krishnan
language : en
Publisher: Academic Press
Release Date : 2021-06-23
Biomedical Signal Analysis For Connected Healthcare written by Sridhar Krishnan and has been published by Academic Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-06-23 with Technology & Engineering categories.
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