Signal Processing Techniques for Computational Health Informatics

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.