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Könyv Signal Processing Techniques for Computational Health Informatics Md Atiqur Rahman Ahad

Signal Processing Techniques for Computational Health Informatics

Szerző: Md Atiqur Rahman Ahad
Nyelv: Angol
Kötés: Kemény kötésű
Kiadó: Springer Nature Switzerland AG
Elérhetőség: Beszállítói készleten
Küldés 10-13 napon belül
57 690 Ft
This book focuses on signal processing techniques used in computational health informatics. As compu...

Információk a könyvről

Szerző
Md Atiqur Rahman Ahad
Nyelv
Angol
Kötés
Könyv - Kemény kötésű
Kiadva
2020
oldal
356
EAN
9783030549312
ISBN
3030549313
Enbook ID
33272851
Kiadó
Springer Nature Switzerland AG
Súly
699
Méretek
160 x 241 x 25

Teljes leírás

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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