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Image and signal processing for networked e-health applications

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 processi...

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Bibliographic Details
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
Table of Contents:
  • Introduction
  • Signal processing for telemedicine applications
  • Introduction to signal processing
  • Signal processing applications
  • Medical image processing
  • Medical data encoding for transmission
  • Data compression
  • Wavelet compression
  • Clinical decision support systems for remote and commuting clinicians
  • Classification systems
  • Evaluation
  • Conclusions
  • Medical data coding and standards
  • The major medical informatics coding standards
  • Biosignal coding standards
  • Web technologies for networked e-health applications
  • The world wide web
  • XML data representation
  • Web services and mobile agents
  • Security issues
  • Distributed collaborative platforms for medical diagnosis over the internet
  • State of the art review
  • Collaborative architectural aspects
  • Collaborative platform : main functions and modules
  • Conclusions and challenges for the future
  • Distributed telemedicine based on wireless and ad hoc networking
  • Emerging mobile telemedicine technologies
  • Distributed mobile telemedicine requirements
  • Ad hoc networks in distributed mobile telemedicine applications
  • Ambient intelligence and pervasive computing for distributed networked e-health applications
  • Enabling technologies in pervasive healthcare
  • Pervasive healthcare applications in controlled environments
  • Pervasive healthcare in distributed nonhospital settings : home care applications
  • Conclusions and future challenges
  • Telemedicine and virtual reality
  • Overview of virtual reality technology
  • Medical applications of virtual reality technology
  • Conclusions.

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