The Sleep Apnea Hypopnea Syndrome (SAHS) is a symp- tomatology 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 profes- sionals and medical equipment, which entails long waiting lists. The new trends in Bring your Own Device (BYOD) and communication technolo- gies 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 Ori- ented 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.
CITATION STYLE
Balderas-Díaz, S., Benghazi, K., Garrido, J. L., Guerrero-Contreras, G., & Miró, E. (2015). Designing new low-cost home-oriented systems for monitoring and diagnosis of patients with Sleep Apnea-Hypopnea. In Communications in Computer and Information Science (Vol. 515, pp. 210–221). Springer Verlag. https://doi.org/10.1007/978-3-662-48645-0_18
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