ICTs for Improving Patients Rehabilitation Research Techniques

  1. Sara Balderas-Díaz 1
  2. Kawtar Benghazi 1
  3. José Luis Garrido 1
  4. Gabriel Guerrero-Contreras 1
  5. Elena Miró 2
  1. 1 Software Engineering Department, E.T.S.I.I.T. C/Periodista Daniel Saucedo Aranda S/n, University of Granada, Granada, Spain
  2. 2 Department of Personality, Assessment and Psychological Treatment, School of Psychology Campus Universitario de Cartuja S/n, University of Granada, Granada, Spain
Konferenzberichte:
REHAB 2014, Oldenburg, Germany, May 20-23, 2014

ISSN: 1865-0929,  1865-0937

ISBN: 9783662486443,  9783662486450

Datum der Publikation: 2015

Seiten: 210-221

Art: Konferenz-Beitrag

DOI: 10.1007/978-3-662-48645-0_18 GOOGLE SCHOLAR lock_openOpen Access editor

Zusammenfassung

The Sleep Apnea Hypopnea Syndrome (SAHS) is a symptomatology that affects between 2–5% of world populations and from which a high percentage have not been diagnosed. This syndrome presents serious consequences in daily life of the people who suffer it. Its detection requires an analysis in a hospital with specialized professionals and medical equipment, which entails long waiting lists. The new trends in Bring your Own Device (BYOD) and communication technologies allow designing new alternatives to current systems of diagnosis. In this paper a low-cost home-oriented system for remote monitoring and diagnosis of SAHS is presented. This system is based on the Service Oriented Architecture (SOA) approach and it is made up by different role-oriented subsystems, following a modular design in order to facilitate an incremental number of patients (scalability) and add new functionalities (extensibility). This system is proposed as a low-cost alternative to other detection methods currently implemented, with the main objectives of allowing a greater outreach to the population and reducing waiting lists in hospitals.