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

Paul Rubel, Jocelyne Fayn, Lucas Simon-Chautemps, Hussein Atoui, Mattias Ohlsson, David Telisson, Stefano Adami, Sébastien Arod, Marie Claire Forlini, Cesare Malossi, Joël Placide, Gian Luca Ziliani, Deodato Assanelli, Philippe Chevalier

    Research output: Chapter in Book/Report/Conference proceedingBook chapterResearch

    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.
    Original languageEnglish
    Title of host publicationWearable eHealth Systems for Personalised Health Management: State of the Art and Future Challenges
    EditorsAndreas Lymberis, Danilo de Rossi
    PublisherIOS Press
    Pages123-132
    Volume108
    ISBN (Print)978-1-58603-449-8
    Publication statusPublished - 2004

    Publication series

    Name
    Volume108

    Subject classification (UKÄ)

    • Biophysics

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