Signal processing techniques for computational health informatics / Md Atiqur Rahman Ahad, Mosabber Uddin Ahmed, editors.
Ahad, Md. Atiqur Rahman, editor.; Ahmed, Mosabber Uddin, editor.
2021
TK5102.9 .S54 2021eb
Available Online

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Title Signal processing techniques for computational health informatics / Md Atiqur Rahman Ahad, Mosabber Uddin Ahmed, editors.
ISBN 9783030549329 (electronic bk.)
3030549321 (electronic bk.)
3030549313
9783030549312
DOI https://doi.org/10.1007/978-3-030-54932-9
Published Cham : Springer, 2021.
Copyright ©2021
Language English
Description 1 online resource (xx, 334 pages)
Other Standard Identifiers 10.1007/978-3-030-54932-9 doi
Call Number TK5102.9 .S54 2021eb
Dewey Decimal Classification 621.382/2
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 expand our 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 in the 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 introduce health 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.
Bibliography, etc. Note Includes bibliographical references.
Access Note Access limited to authorized users.
Source of Description Description based on print version record.
Online resource; title from PDF title page (SpringerLink, viewed December 15, 2020).
Added Author Ahad, Md. Atiqur Rahman, editor.
Ahmed, Mosabber Uddin, editor.
Series Intelligent systems reference library ; v. 192.
Available in Other Form Signal Processing Techniques for Computational Health Informatics.
Linked Resources Online Access
Record Appears in Online Resources > Ebooks
All Resources
Origin and Dynamics of Biomedical Signals
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Time-Frequency Analysis in Health Informatics
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Entropy Analysis in Health Informatics
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Artificial Intelligence, Machine Learning and Reasoning in Health Informatics
-An Overview
Health informatics: challenges and opportunities
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Artificial Intelligence, Machine Learning and Reasoning in Health Informatics
-Case Studies
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Automatic Epileptic Seizures Detection and EEG Signals Classification Based on Multi-domain Feature Extraction and Multiscale Entropy Analysis.

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