LEADER 03765nam 22005895 450 001 9910483173903321 005 20251202145735.0 010 $a3-030-54932-1 024 7 $a10.1007/978-3-030-54932-9 035 $a(CKB)4100000011493478 035 $a(MiAaPQ)EBC6369409 035 $a(DE-He213)978-3-030-54932-9 035 $a(PPN)258088303 035 $a(MiAaPQ)EBC29095428 035 $a(EXLCZ)994100000011493478 100 $a20201007d2021 u| 0 101 0 $aeng 135 $aurnn#---mamaa 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aSignal Processing Techniques for Computational Health Informatics /$fedited by Md Atiqur Rahman Ahad, Mosabber Uddin Ahmed 205 $a1st ed. 2021. 210 1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2021. 215 $a1 online resource $cillustrations 225 1 $aIntelligent Systems Reference Library,$x1868-4408 ;$v192 311 08$a3-030-54931-3 320 $aIncludes bibliographical references. 330 $aThis book focuses on signal processing techniques used in computational health informatics. As computational health informatics is the interdisciplinary study of the design, development, adoption and application of information and technology-based innovations, specifically, computational techniques that are relevant in health care, the book covers a comprehensive and representative range of signal processing techniques used in biomedical applications, including: bio-signal origin and dynamics, sensors used for data acquisition, artefact and noise removal techniques, feature extraction techniques in the time, frequency, time?frequency and complexity domain, and image processing techniques in different image modalities. Moreover, it includes an extensive discussion of security and privacy challenges, opportunities and future directions for computational health informatics in the big data age, and addresses the incorporation of recent techniques from the areas of artificial intelligence, deep learning and human?computer interaction. The systematic analysis of the state-of-the-art techniques covered here helps to further our understanding of the physiological processes involved and expand our capabilities in medical diagnosis and prognosis. In closing, the book, the first of its kind, blends state-of-the-art theory and practices of signal processing techniques in the health informatics domain with real-world case studies building on those theories. As a result, it can be used as a text for health informatics courses to provide medics with cutting-edge signal processing techniques, or to introduce health professionals who are already serving in this sector to some of the most exciting computational ideas that paved the way for the development of computational health informatics. 410 0$aIntelligent Systems Reference Library,$x1868-4408 ;$v192 606 $aComputational intelligence 606 $aSignal processing 606 $aMedical informatics 606 $aComputational Intelligence 606 $aSignal, Speech and Image Processing 606 $aHealth Informatics 615 0$aComputational intelligence. 615 0$aSignal processing. 615 0$aMedical informatics. 615 14$aComputational Intelligence. 615 24$aSignal, Speech and Image Processing. 615 24$aHealth Informatics. 676 $a621.3822 702 $aAhad$b Md. Atiqur Rahman 702 $aAhmed$b Mosabber Uddin 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910483173903321 996 $aSignal processing techniques for computational health informatics$92846502 997 $aUNINA