Image and signal processing for networked e-health applications

• Main Author: Maglogiannis, Ilias G.
• Other Authors: Karpouzis, Kostas., Wallace, Manolis.
• Format: Electronic
• Language: English
• Published: San Rafael, Calif. (1537 Fourth St, San Rafael, CA 94901 USA) : Morgan & Claypool Publishers, c2006.
• Edition: 1st ed.
• Series: Synthesis lectures on biomedical engineering, #2.
• Subjects: Telecommunication in medicine.; Internet in medicine.; Ambient intelligence.; Ubiquitous computing.; Virtual reality in medicine.
• Online Access: Abstract with links to resource
• Item Description: Part of: Synthesis digital library of engineering and computer science.; Title from PDF t.p. (viewed on November 2, 2008).; Series from website.
• Physical Description: 1 electronic text (ix, 95 p. : ill.) : digital file.; Also available in print.
• Format: Mode of access: World Wide Web.; System requirements: Adobe Acrobat Reader.
• Bibliography: Includes bibliographical references.
• ISBN: 1598290371 (electronic bk.); 9781598290370 (electronic bk.); 1598290363 (paper); 9781598290363 (paper)
• ISSN: 1932-0336
• Access: Abstract freely available; full-text restricted to subscribers or individual document purchasers.

E-health is closely related with networks and telecommunications when dealing with applications of collecting or transferring medical data from distant locations for performing remote medical collaborations and diagnosis. In this book we provide an overview of the fields of image and signal processing for networked and distributed e-health applications and their supporting technologies. The book is structured in 10 chapters, starting the discussion from the lower end, that of acquisition and processing of biosignals and medical images and ending in complex virtual reality systems and techniques providing more intuitive interaction in a networked medical environment. The book also discusses networked clinical decision support systems and corresponding medical standards, WWW-based applications, medical collaborative platforms, wireless networking, and the concepts of ambient intelligence and pervasive computing in electronic healthcare systems.