Framework of sensor-based monitoring for pervasive patient care

Andreas K. Triantafyllidis; Vassilis G. Koutkias; Ioanna Chouvarda; Ilia Adami; Angelina Kouroubali; Nicos Maglaveras

Framework of sensor-based monitoring for pervasive patient care

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Author(s): Andreas K. Triantafyllidis ^{1, 2} ; Vassilis G. Koutkias ^{1, 2} ; Ioanna Chouvarda ^{1, 2} ; Ilia Adami ³ ; Angelina Kouroubali ⁴ ; Nicos Maglaveras ^{1, 2}
- Affiliations: 1: Institute of Applied Biosciences, Centre for Research and Technology Hellas, Thermi, Thessaloniki, Greece ;
  2: Laboratory of Computing and Medical Informatics, Medical School, Aristotle University of Thessaloniki, 54124 Thessaloniki, P.O. Box 323, Greece ;
  3: Human Computer Interaction Laboratory, Foundation for Research and Technology Hellas, Heraklion, Greece ;
  4: Computational Medicine Laboratory, Foundation for Research and Technology Hellas, Heraklion, Greece
Source: Volume 3, Issue 3, September 2016, p. 153 – 158
DOI: 10.1049/htl.2016.0017 , Online ISSN 2053-3713

Received 31/03/2016, Accepted 28/07/2016, Revised 20/07/2016, Published 12/08/2016

Sensor-based health systems can often become difficult to use, extend and sustain. The authors propose a framework for designing sensor-based health monitoring systems aiming to provide extensible and usable monitoring services in the scope of pervasive patient care. The authors’ approach relies on a distributed system for monitoring the patient health status anytime-anywhere and detecting potential health complications, for which healthcare professionals and patients are notified accordingly. Portable or wearable sensing devices measure the patient's physiological parameters, a smart mobile device collects and analyses the sensor data, a Medical Center system receives notifications on the detected health condition, and a Health Professional Platform is used by formal caregivers in order to review the patient condition and configure monitoring schemas. A Service-oriented architecture is utilised to provide extensible functional components and interoperable interactions among the diversified system components. The framework was applied within the REMOTE ambient-assisted living project in which a prototype system was developed, utilising Bluetooth to communicate with the sensors and Web services for data exchange. A scenario of using the REMOTE system and preliminary usability results show the applicability, usefulness and virtue of our approach.

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