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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<p>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.</p><p>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.</p><p>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. </p><br>
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Taschenbuch. Zustand: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This book focuses onsignal 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 bookcovers a comprehensive and representativerangeof 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 inthetime, frequency, time-frequency and complexity domain,and image processing techniques in different image modalities.Moreover, it includes an extensive discussionof security and privacy challenges, opportunities and future directions for computational health informatics in the big data age,and addresses the incorporation ofrecent techniques from the areasof artificial intelligence, deep learning and human-computer interaction. The systematic analysis of the state-of-the-art techniques coveredherehelps to further our understandingof the physiological processesinvolvedandexpandour capabilitiesin medical diagnosis and prognosis.In closing, the book, the first of its kind, blendsstate-of-the-art theory and practices of signal processing techniques inthehealth informatics domainwithreal-worldcase studies building onthose theories. As a result,it can be usedas a text for health informatics coursesto provide medicswith cutting-edge signal processing techniques, or to introducehealth professionals who are already serving in this sector tosome of the most exciting computational ideas that paved the way forthe development of computational health informatics. 356 pp. Englisch. Bestandsnummer des Verkäufers 9783030549343
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Taschenbuch. Zustand: Neu. Signal Processing Techniques for Computational Health Informatics | Md Atiqur Rahman Ahad (u. a.) | Taschenbuch | xx | Englisch | 2021 | Springer | EAN 9783030549343 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu. Bestandsnummer des Verkäufers 120552652
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Taschenbuch. Zustand: Neu. Neuware -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.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 356 pp. Englisch. Bestandsnummer des Verkäufers 9783030549343
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Taschenbuch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book focuses onsignal 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 bookcovers a comprehensive and representativerangeof 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 inthetime, frequency, time-frequency and complexity domain,and image processing techniques in different image modalities.Moreover, it includes an extensive discussionof security and privacy challenges, opportunities and future directions for computational health informatics in the big data age,and addresses the incorporation ofrecent techniques from the areasof artificial intelligence, deep learning and human-computer interaction. The systematic analysis of the state-of-the-art techniques coveredherehelps to further our understandingof the physiological processesinvolvedandexpandour capabilitiesin medical diagnosis and prognosis.In closing, the book, the first of its kind, blendsstate-of-the-art theory and practices of signal processing techniques inthehealth informatics domainwithreal-worldcase studies building onthose theories. As a result,it can be usedas a text for health informatics coursesto provide medicswith cutting-edge signal processing techniques, or to introducehealth professionals who are already serving in this sector tosome of the most exciting computational ideas that paved the way forthe development of computational health informatics. Bestandsnummer des Verkäufers 9783030549343
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