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dc.creatorDoukas, C.en
dc.creatorPetsatodis, T.en
dc.creatorMaglogiannis, I.en
dc.date.accessioned2015-11-23T10:25:52Z
dc.date.available2015-11-23T10:25:52Z
dc.date.issued2010
dc.identifier10.1007/978-3-642-13039-7_30
dc.identifier.isbn9783642130380
dc.identifier.issn16800737
dc.identifier.urihttp://hdl.handle.net/11615/27188
dc.description.abstractApnea is considered one of the major sleep disorders with great accession in population and significant impact on patient's health. Symptoms include disruption of oxygenation, snoring, choking sensations, apneic episodes, poor concentration, memory loss, and daytime somnolence. Diagnosis of apnea involves monitoring patient's biosignals and breath during sleep in specialized clinics requiring expensive equipment and technical personnel. This paper discusses the design and technical details of a platform capable for preliminary detection of sleep apnea at patient's home utilizing snore analysis. © 2010 International Federation for Medical and Biological Engineering.en
dc.source.urihttp://www.scopus.com/inward/record.url?eid=2-s2.0-77957583424&partnerID=40&md5=d916f574e8f6a1e43266a96f70c008c6
dc.subjectmobile sound processingen
dc.subjectSleep Apnea detectionen
dc.subjectsnore detectionen
dc.subjectsnore signalsen
dc.subjectBiosignalsen
dc.subjectMemory lossen
dc.subjectNon-invasiveen
dc.subjectSignificant impactsen
dc.subjectSleep apneaen
dc.subjectSleep disordersen
dc.subjectSound analysisen
dc.subjectSound processingen
dc.subjectSpecialized clinicsen
dc.subjectTechnical detailsen
dc.subjectTechnical personnelen
dc.subjectBiochemical engineeringen
dc.subjectMedical computingen
dc.subjectOxygenationen
dc.subjectPatient monitoringen
dc.subjectSignal detectionen
dc.subjectSleep researchen
dc.titleMORFEAS: A non-invasive system for automated sleep apnea detection utilizing snore sound analysisen
dc.typeconferenceItemen


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