Abstract
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.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Balderas-Díaz, S., Benghazi, K., Garrido, J.L., Miró, E.: A service-based platform for monitoring and diagnosis of patients with sahs symptoms (2014, in press)
Bsoul, M., Minn, H., Tamil, L.: Apnea medassist: real-time sleep apnea monitor using single-lead ECG. IEEE Trans. Inf. Technol. Biomed. 15(3), 416–427 (2011)
Chesson Jr, A.L., et al.: The indications for polysomnography and related procedures. Sleep 20(6), 423–487 (1997)
Coma-del Corral, M.J., Alonso-Álvarez, M.L., Allende, M., Cordero, J., Ordax, E., Masa, F., Terán-Santos, J.: Reliability of telemedicine in the diagnosis and treatment of sleep apnea syndrome. Telemed. e-Health 19(1), 7–12 (2013)
Gould, G., Whyte, K., Rhind, G., Airlie, M., Catterall, J., Shapiro, C., Douglas, N.: The sleep hypopnea syndrome. Am. Rev. Respir. Dis. 137(4), 895–898 (1988)
Guerrero-Contreras, G., Garrido, J.L., Rodríguez-Domínguez, C., Balderas-Díaz, S.: Self-adaptive service deployment in context-aware systems. In: 8th International Conference on Ubiquitous Computing Ambient Intelligence (UCAmI) (2014, in press)
Guerrero-Contreras, G., Garrido, J.L., Rodríguez-Domínguez, C., Noguera, M., Benghazi, K.: Designing a service platform for sharing internet resources in MANETs. Advances in Service-Oriented and Cloud Computing, vol. 393, pp. 331–345. Springer, Heidelberg (2013)
Hill, J.W., Powell, P.: The national healthcare crisis: is ehealth a key solution? Bus. Horiz. 52(3), 265–277 (2009)
Isetta, V., Montserrat, J.M., Thiebaut, G., Weber, C., Navajas, D., Farré, R.: A new device for sleep apnea treatament telemonitoring: a bench study. Int. J. Adv. Life Sci. 5(3–4), 250–259 (2013)
Jovanov, E., Milenkovic, A., Otto, C., De Groen, P.C.: A wireless body area network of intelligent motion sensors for computer assisted physical rehabilitation. J. NeuroEng. Rehabil. 2(1), 6 (2005)
Kreps, G.L., Neuhauser, L.: New directions in ehealth communication: opportunities and challenges. Patient Educ. Couns. 78(3), 329–336 (2010)
Kulkarni, G., Shelke, R., Palwe, R., Solanke, V., Belsare, S., Mohite, S.: Mobile cloud computing-bring your own device. In: Communication Fourth International Conference on Systems and Network Technologies (CSNT) 2014, pp. 565–568. IEEE (2014)
Lionis, C., Petelos, E.: The impact of the financial crisis on the quality of care in primary care: an issue that requires prompt attention. Qual. Prim. Care 21(5), 269–273 (2013)
McCullagh, P.J., Carswell, W., Mulvenna, M.D., Augusto, J.C., Zheng, H., Jeffers, W.P.: Nocturnal sensing and intervention for assisted living of people with dementia. In: Healthcare Sensor Networks: Challenges Toward Practical Implementation pp. 283–303. CRC Press, Boca Raton (2011)
Nakano, H., Hirayama, K., Sadamitsu, Y., Toshimitsu, A., Fujita, H., Shin, S., Tanigawa, T.: Monitoring sound to quantify snoring and sleep apnea severity using a smartphone: proof of concept. J. Clin. Sleep Med. JCSM Official publ. Am. Acad. Sleep Med. 10(1), 73–78 (2014)
Naqvi, N.Z., Preuveneers, D., Berbers, Y., et al.: Walking in the clouds: deployment and performance trade-offs of smart mobile applications for intelligent environments. In: 9th International Conference on Intelligent Environments (IE) 2013, pp. 212–219. IEEE (2013)
Ruiz-Zafra, A., Noguera, M., Benghazi, K., Garrido, J.L., Urbano, G.C., Caracuel, A.: A mobile cloud-supported e-rehabilitation platform for brain-injured patients. In: 7th International Conference on Pervasive Computing Technologies for Healthcare (PervasiveHealth) 2013, pp. 352–355. IEEE (2013)
Hygehos, S.L.: Hygehos home (2013). http://www.hygehos.com/hygehos-home/
American Academy of Sleep Medicine: International classification of sleep disorders: diagnostic and coding manual (2005)
Zhang, J., Zhang, Q., Wang, Y., Qiu, C.: A real-time auto-adjustable smart pillow system for sleep apnea detection and treatment. In: Proceedings of the 12th International Conference on Information Processing in Sensor Networks, pp. 179–190. ACM (2013)
Acknowledgment
This research has been partially supported by the Spanish Ministry of Economy and Competitiveness with European Regional Development Funds (FEDER) under the research project TIN2012-38600 and by the Granada Excellence Network of Innovation Laboratories (GENIL) under project PYR-2014-5. The authors would also like to acknowledge contribution from COST Action AAPELE1303.
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2015 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
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: Fardoun, H., R. Penichet, V., Alghazzawi, D. (eds) ICTs for Improving Patients Rehabilitation Research Techniques. REHAB 2014. Communications in Computer and Information Science, vol 515. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-662-48645-0_18
Download citation
DOI: https://doi.org/10.1007/978-3-662-48645-0_18
Published:
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-662-48644-3
Online ISBN: 978-3-662-48645-0
eBook Packages: Computer ScienceComputer Science (R0)