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Books > Medicine > General issues > Medical equipment & techniques
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Signal Processing Techniques for Computational Health Informatics (Hardcover, 1st ed. 2021)
Loot Price: R4,623
Discovery Miles 46 230
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Signal Processing Techniques for Computational Health Informatics (Hardcover, 1st ed. 2021)
Series: Intelligent Systems Reference Library, 192
Expected to ship within 10 - 15 working days
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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.
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