Biomedical Signal Processing and Artificial Intelligence in Healthcare Book

Biomedical Signal Processing and Artificial Intelligence in Healthcare


  • Author : Walid A. Zgallai
  • Publisher : Academic Press
  • Release Date : 2020-08-19
  • Genre: Technology & Engineering
  • Pages : 268
  • ISBN 10 : 9780128189467
  • Total Read : 92
  • File Size : 8,6 Mb

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Biomedical Signal Processing and Artificial Intelligence in Healthcare Summary:

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 and Artificial Intelligence in Healthcare Book

Biomedical Signal Processing and Artificial Intelligence in Healthcare


  • Author : Walid A. Zgallai
  • Publisher : Academic Press
  • Release Date : 2020-07-29
  • Genre: Technology & Engineering
  • Pages : 268
  • ISBN 10 : 9780128189474
  • Total Read : 93
  • File Size : 9,9 Mb

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Biomedical Signal Processing and Artificial Intelligence in Healthcare Summary:

Biomedical Signal Processing and Artificial Intelligence in Healthcare is a new volume in the Developments in Biomedical Engineering and Bioelectronics series. This volume covers the basics of biomedical signal processing and artificial intelligence. It explains the role of machine learning in relation to processing biomedical signals and the applications in medicine and healthcare. The book 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 Deep Learning, Neural Networks, and the implications of the expansion of artificial intelligence is covered. Biomedical Images are also introduced and processed, including segmentation, classification, and detection. This book covers different aspects of signals, from the use of hardware and software, and making use of artificial intelligence in problem solving. Dr Zgallai’s book has up to date coverage where readers can find the latest information, easily explained, with clear examples and illustrations. The book includes examples on the application of signal and image processing employing artificial intelligence to Alzheimer, Parkinson, ADHD, autism, and sleep disorders, as well as ECG and EEG signals. 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. The series serves a wide audience of university faculty, researchers and students, as well as industry practitioners. Coverage of the subject area and the latest advances and applications in biomedical signal processing and Artificial Intelligence. Contributions by recognized researchers and field leaders. On-line presentat

Signal Processing Techniques for Computational Health Informatics Book

Signal Processing Techniques for Computational Health Informatics


  • Author : Md Atiqur Rahman Ahad
  • Publisher : Springer Nature
  • Release Date : 2020-10-07
  • Genre: Technology & Engineering
  • Pages : 334
  • ISBN 10 : 9783030549329
  • Total Read : 70
  • File Size : 9,9 Mb

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Signal Processing Techniques for Computational Health Informatics Summary:

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.

Classification and Clustering in Biomedical Signal Processing Book

Classification and Clustering in Biomedical Signal Processing


  • Author : Dey, Nilanjan
  • Publisher : IGI Global
  • Release Date : 2016-04-07
  • Genre: Technology & Engineering
  • Pages : 463
  • ISBN 10 : 9781522501411
  • Total Read : 79
  • File Size : 16,9 Mb

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Classification and Clustering in Biomedical Signal Processing Summary:

Advanced techniques in image processing have led to many innovations supporting the medical field, especially in the area of disease diagnosis. Biomedical imaging is an essential part of early disease detection and often considered a first step in the proper management of medical pathological conditions. Classification and Clustering in Biomedical Signal Processing focuses on existing and proposed methods for medical imaging, signal processing, and analysis for the purposes of diagnosing and monitoring patient conditions. Featuring the most recent empirical research findings in the areas of signal processing for biomedical applications with an emphasis on classification and clustering techniques, this essential publication is designed for use by medical professionals, IT developers, and advanced-level graduate students.

Handbook of Research on Advancements of Artificial Intelligence in Healthcare Engineering Book
Score: 1
From 1 Ratings

Handbook of Research on Advancements of Artificial Intelligence in Healthcare Engineering


  • Author : Sisodia, Dilip Singh
  • Publisher : IGI Global
  • Release Date : 2020-02-28
  • Genre: Medical
  • Pages : 420
  • ISBN 10 : 9781799821229
  • Total Read : 60
  • File Size : 19,8 Mb

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Handbook of Research on Advancements of Artificial Intelligence in Healthcare Engineering Summary:

Artificial intelligence (AI) is revolutionizing every aspect of human life including human healthcare and wellbeing management. Various types of intelligent healthcare engineering applications have been created that help to address patient healthcare and outcomes such as identifying diseases and gathering patient information. Advancements in AI applications in healthcare continue to be sought to aid rapid disease detection, health monitoring, and prescription drug tracking. TheHandbook of Research on Advancements of Artificial Intelligence in Healthcare Engineering is an essential scholarly publication that provides comprehensive research on the possible applications of machine learning, deep learning, soft computing, and evolutionary computing techniques in the design, implementation, and optimization of healthcare engineering solutions. Featuring a wide range of topics such as genetic algorithms, mobile robotics, and neuroinformatics, this book is ideal for engineers, technology developers, IT consultants, hospital administrators, academicians, healthcare professionals, practitioners, researchers, and students.

Machine Learning and the Internet of Medical Things in Healthcare Book

Machine Learning and the Internet of Medical Things in Healthcare


  • Author : Krishna Kant Singh
  • Publisher : Academic Press
  • Release Date : 2021-04-26
  • Genre: Science
  • Pages : 290
  • ISBN 10 : 9780128232170
  • Total Read : 85
  • File Size : 18,6 Mb

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Machine Learning and the Internet of Medical Things in Healthcare Summary:

Machine Learning and the Internet of Medical Things in Healthcare discusses the applications and challenges of machine learning for healthcare applications. The book provides a platform for presenting machine learning-enabled healthcare techniques and offers a mathematical and conceptual background of the latest technology. It describes machine learning techniques along with the emerging platform of the Internet of Medical Things used by practitioners and researchers worldwide. The book includes deep feed forward networks, regularization, optimization algorithms, convolutional networks, sequence modeling, and practical methodology. It also presents the concepts of the Internet of Things, the set of technologies that develops traditional devices into smart devices. Finally, the book offers research perspectives, covering the convergence of machine learning and IoT. It also presents the application of these technologies in the development of healthcare frameworks. Provides an introduction to the Internet of Medical Things through the principles and applications of machine learning Explains the functions and applications of machine learning in various applications such as ultrasound imaging, biomedical signal processing, robotics, and biomechatronics Includes coverage of the evolution of healthcare applications with machine learning, including Clinical Decision Support Systems, artificial intelligence in biomedical engineering, and AI-enabled connected health informatics, supported by real-world case studies

Advanced Methods in Biomedical Signal Processing and Analysis Book

Advanced Methods in Biomedical Signal Processing and Analysis


  • Author : Kunal Pal
  • Publisher : Academic Press
  • Release Date : 2022-09-15
  • Genre: Technology & Engineering
  • Pages : 434
  • ISBN 10 : 9780323859547
  • Total Read : 94
  • File Size : 10,7 Mb

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Advanced Methods in Biomedical Signal Processing and Analysis Summary:

Advanced Methods in Biomedical Signal Processing and Analysis presents state-of-the-art methods in biosignal processing, including recurrence quantification analysis, heart rate variability, analysis of the RRI time-series signals, joint time-frequency analyses, wavelet transforms and wavelet packet decomposition, empirical mode decomposition, modeling of biosignals, Gabor Transform, empirical mode decomposition. The book also gives an understanding of feature extraction, feature ranking, and feature selection methods, while also demonstrating how to apply artificial intelligence and machine learning to biosignal techniques. Gives advanced methods in signal processing Includes machine and deep learning methods Presents experimental case studies

Biomedical Signal and Image Processing in Patient Care Book
Score: 4
From 1 Ratings

Biomedical Signal and Image Processing in Patient Care


  • Author : Kolekar, Maheshkumar H.
  • Publisher : IGI Global
  • Release Date : 2017-08-11
  • Genre: Technology & Engineering
  • Pages : 312
  • ISBN 10 : 9781522528302
  • Total Read : 61
  • File Size : 9,6 Mb

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Biomedical Signal and Image Processing in Patient Care Summary:

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.