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New Paradigms in Telemedicine: Ambient Intelligence, Wearable, Pervasive and Personalized

Rubel, Paul; Fayn, Jocelyne; Simon-Chautemps, Lucas; Atoui, Hussein; Ohlsson, Mattias LU ; Telisson, David; Adami, Stefano; Arod, Sébastien; Forlini, Marie Claire and Malossi, Cesare, et al. (2004) In Wearable eHealth Systems for Personalised Health Management: State of the Art and Future Challenges 108. p.123-132
Abstract
After decades of development of information systems dedicated to health professionals, there is an increasing demand for personalized and non-hospital based care. An especially critical domain is cardiology: almost two third of cardiac deaths occur out of hospital, and victims do not survive long enough to benefit from in-hospital treatments. We need to reduce the time before treatment. But symptoms are often interpreted wrongly. The only immediate diagnostic tool to assess the possibility of a cardiac event is the electrocardiogram (ECG). Event and transtelephonic ECG recorders are used to improve decision making but require setting up new infrastructures. The European EPI-MEDICS project has developed an intelligent Personal ECG Monitor... (More)
After decades of development of information systems dedicated to health professionals, there is an increasing demand for personalized and non-hospital based care. An especially critical domain is cardiology: almost two third of cardiac deaths occur out of hospital, and victims do not survive long enough to benefit from in-hospital treatments. We need to reduce the time before treatment. But symptoms are often interpreted wrongly. The only immediate diagnostic tool to assess the possibility of a cardiac event is the electrocardiogram (ECG). Event and transtelephonic ECG recorders are used to improve decision making but require setting up new infrastructures. The European EPI-MEDICS project has developed an intelligent Personal ECG Monitor (PEM) for the early detection of cardiac events. The PEM embeds advanced decision making techniques, generates different alarm levels and forwards alarm messages to the relevant care providers by means of new generation wireless communication. It is cost saving, involving care provider only if necessary and requiring no specific infrastructure. This solution is a typical example of pervasive computing and ambient intelligence that demonstrates how personalized, wearable, ubiquitous devices could improve healthcare. (Less)
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Chapter in Book/Report/Conference proceeding
publication status
published
subject
in
Wearable eHealth Systems for Personalised Health Management: State of the Art and Future Challenges
editor
Lymberis, Andreas and de Rossi, Danilo
volume
108
pages
123 - 132
publisher
IOS Press
ISBN
978-1-58603-449-8
language
English
LU publication?
yes
id
5921854b-58b3-468f-a0d0-022043d80128 (old id 796399)
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http://iospress.metapress.com/link.asp?id=gmfhkj0yqdd61kwb
date added to LUP
2007-12-27 23:53:48
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2016-04-16 09:56:41
@misc{5921854b-58b3-468f-a0d0-022043d80128,
  abstract     = {After decades of development of information systems dedicated to health professionals, there is an increasing demand for personalized and non-hospital based care. An especially critical domain is cardiology: almost two third of cardiac deaths occur out of hospital, and victims do not survive long enough to benefit from in-hospital treatments. We need to reduce the time before treatment. But symptoms are often interpreted wrongly. The only immediate diagnostic tool to assess the possibility of a cardiac event is the electrocardiogram (ECG). Event and transtelephonic ECG recorders are used to improve decision making but require setting up new infrastructures. The European EPI-MEDICS project has developed an intelligent Personal ECG Monitor (PEM) for the early detection of cardiac events. The PEM embeds advanced decision making techniques, generates different alarm levels and forwards alarm messages to the relevant care providers by means of new generation wireless communication. It is cost saving, involving care provider only if necessary and requiring no specific infrastructure. This solution is a typical example of pervasive computing and ambient intelligence that demonstrates how personalized, wearable, ubiquitous devices could improve healthcare.},
  author       = {Rubel, Paul and Fayn, Jocelyne and Simon-Chautemps, Lucas and Atoui, Hussein and Ohlsson, Mattias and Telisson, David and Adami, Stefano and Arod, Sébastien and Forlini, Marie Claire and Malossi, Cesare and Placide, Joël and Ziliani, Gian Luca and Assanelli, Deodato and Chevalier, Philippe},
  editor       = {Lymberis, Andreas and de Rossi, Danilo},
  isbn         = {978-1-58603-449-8},
  language     = {eng},
  pages        = {123--132},
  publisher    = {ARRAY(0x9d103b8)},
  series       = {Wearable eHealth Systems for Personalised Health Management: State of the Art and Future Challenges},
  title        = {New Paradigms in Telemedicine: Ambient Intelligence, Wearable, Pervasive and Personalized},
  volume       = {108},
  year         = {2004},
}