Your browser has javascript turned off or blocked. This will lead to some parts of our website to not work properly or at all. Turn on javascript for best performance.

The browser you are using is not supported by this website. All versions of Internet Explorer are no longer supported, either by us or Microsoft (read more here:

Please use a modern browser to fully experience our website, such as the newest versions of Edge, Chrome, Firefox or Safari etc.

Mattias Ohlsson

Mattias Ohlsson


Mattias Ohlsson

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


  • Andreas Lymberis
  • Danilo de Rossi

Summary, in English

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.


  • Computational Biology and Biological Physics

Publishing year







Wearable eHealth Systems for Personalised Health Management: State of the Art and Future Challenges



Document type

Book chapter


IOS Press


  • Biophysics




  • ISBN: 978-1-58603-449-8