國立高雄大學圖資館 |

Language: English

Back

Signal processing techniques for com...

Ahad, Md Atiqur Rahman.

Signal processing techniques for computational health informatics

Record Type:	Electronic resources : Monograph/item
Title/Author:	Signal processing techniques for computational health informaticsedited by Md Atiqur Rahman Ahad, Mosabber Uddin Ahmed.
other author:	Ahad, Md Atiqur Rahman.
Published:	Cham :Springer International Publishing :2021.
Description:	xx, 334 p. :ill., digital ;24 cm.
Contained By:	Springer Nature eBook
Subject:	Signal processingDigital techniques.
Online resource:	https://doi.org/10.1007/978-3-030-54932-9
ISBN:	9783030549329$q(electronic bk.)

Signal processing techniques for computational health informatics
Signal processing techniques for computational health informatics[electronic resource] /edited by Md Atiqur Rahman Ahad, Mosabber Uddin Ahmed. - Cham :Springer International Publishing :2021. - xx, 334 p. :ill., digital ;24 cm. - Intelligent systems reference library,v.1921868-4394 ;. - Intelligent systems reference library ;v.24..

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 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.

ISBN: 9783030549329$q(electronic bk.)

Standard No.: 10.1007/978-3-030-54932-9doiSubjects--Topical Terms:

182126
Signal processing
--Digital techniques.

LC Class. No.: TK5102.9 / .S54 2021

Dewey Class. No.: 621.3822

Signal processing techniques for computational health informatics
LDR:02906nmm a2200325 a 4500 001 595192
003 DE-He213
005 20201007034452.0
006 m d
007 cr nn 008maaau
008 211005s2021 sz s 0 eng d
020 $a 9783030549329$q(electronic bk.)
020 $a 9783030549312$q(paper)
024 7 $a 10.1007/978-3-030-54932-9 $2 doi
035 $a 978-3-030-54932-9
040 $a GP $c GP
041 0 $a eng
050 4 $a TK5102.9 $b .S54 2021
072 7 $a UYQ $2 bicssc
072 7 $a TEC009000 $2 bisacsh
072 7 $a UYQ $2 thema
082 0 4 $a 621.3822 $2 23
090 $a TK5102.9 $b .S578 2021
245 0 0 $a Signal processing techniques for computational health informatics $h [electronic resource] / $c edited by Md Atiqur Rahman Ahad, Mosabber Uddin Ahmed.
260 $a Cham : $b Springer International Publishing : $b Imprint: Springer, $c 2021.
300 $a xx, 334 p. : $b ill., digital ; $c 24 cm.
490 1 $a Intelligent systems reference library, $x 1868-4394 ; $v v.192
520 $a 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 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.
650 0 $a Signal processing $x Digital techniques. $3 182126
650 0 $a Medical informatics. $3 196487
650 1 4 $a Computational Intelligence. $3 338479
650 2 4 $a Signal, Image and Speech Processing. $3 273768
650 2 4 $a Health Informatics. $3 274212
700 1 $a Ahad, Md Atiqur Rahman. $3 887219
700 1 $a Ahmed, Mosabber Uddin. $3 887289
710 2 $a SpringerLink (Online service) $3 273601
773 0 $t Springer Nature eBook
830 0 $a Intelligent systems reference library ; $v v.24. $3 558591
856 4 0 $u https://doi.org/10.1007/978-3-030-54932-9
950 $a Intelligent Technologies and Robotics (SpringerNature-42732)