Signal Processing Techniques for Computational Health Informatics

Book


Ahad, M. and Ahmend, M. U. (ed.) 2021. Signal Processing Techniques for Computational Health Informatics. Springer, Cham.
EditorsAhad, M. and Ahmend, M. U.
Abstract

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.

Year2021
PublisherSpringer, Cham
Publication dates
Online07 Oct 2020
Print08 Oct 2020
Publication process dates
Deposited26 Jul 2023
Edition1
SeriesIntelligent Systems Reference Library
ISBN9783030549329
9783030549312
ISSN1868-4394
Digital Object Identifier (DOI)https://doi.org/10.1007/978-3-030-54932-9
Web address (URL)https://link.springer.com/book/10.1007/978-3-030-54932-9
Copyright holder© 2021, Springer Nature Switzerland AG
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