Overview
- Presents a comprehensive overview of the security and privacy challenges, opportunities, and future directions for computational health informatics in the big data age
- Discusses the incorporation of recent techniques from the areas of artificial intelligence, deep learning, and Human-Computer Interaction
- Covers a comprehensive and representative range of signal processing techniques used in biomedical applications
- Provides a systematic analysis of state-of-the-art techniques
Part of the book series: Intelligent Systems Reference Library (ISRL, volume 192)
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Table of contents (14 chapters)
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Front Matter
Keywords
About this book
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.
Editors and Affiliations
Bibliographic Information
Book Title: Signal Processing Techniques for Computational Health Informatics
Editors: Md Atiqur Rahman Ahad, Mosabber Uddin Ahmed
Series Title: Intelligent Systems Reference Library
DOI: https://doi.org/10.1007/978-3-030-54932-9
Publisher: Springer Cham
eBook Packages: Intelligent Technologies and Robotics, Intelligent Technologies and Robotics (R0)
Copyright Information: Springer Nature Switzerland AG 2021
Hardcover ISBN: 978-3-030-54931-2Published: 08 October 2020
Softcover ISBN: 978-3-030-54934-3Published: 09 October 2021
eBook ISBN: 978-3-030-54932-9Published: 07 October 2020
Series ISSN: 1868-4394
Series E-ISSN: 1868-4408
Edition Number: 1
Number of Pages: XX, 334
Number of Illustrations: 74 b/w illustrations, 59 illustrations in colour
Topics: Computational Intelligence, Signal, Image and Speech Processing, Health Informatics