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Sensory system for the sleep disorders detection in the geriatric population

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dc.contributor.authorAlberto, Mauro Cruz
dc.contributor.authorGraca Ruano, Maria
dc.contributor.authorHerrero, M. A.
dc.contributor.authorJimenez, Ana
dc.contributor.authorGarcia, J. J.
dc.contributor.authorDiaz, Edel
dc.date.accessioned2019-11-20T15:08:01Z
dc.date.available2019-11-20T15:08:01Z
dc.date.issued2017
dc.description.abstractThis paper introduces the proposal of a remote sensory system for the detection of sleep disorders in geriatric outpatients. Although the most accurate solution would be an in-depth study in a sleep clinic, it is not a realistic environment for the elderly. The objective is that the patient stays at home, and without changing their daily routines, the clinicians get objective information in order to make a correct diagnosis of the sleep disorders. As a first step towards achieving a home remote monitory system, this work introduces a Body Sensor Network (BSN) to monitor various vital signals as Electrocardiogram (ECG) and Electromyogram (EMG) in order to collect enough information for sleep disorder diagnosis, focusing on the detection of obstructive sleep apnea. This work proposes an algorithm to infer obstructive sleep apnea (OSA) based on power spectral analysis of ECG signals from a single-lead electrocardiogram, demonstrating the feasibility of BSN to detect OSA with around 85% sensitivity.
dc.description.sponsorshipSpanish Ministry of Economy and Competitiveness (TARSIUS) [TIN2015-71564-c4-1-R]
dc.description.sponsorshipNational Youth Guarantee System Administrative, Unit of the European Social Fund [ECC / 1402/2013]
dc.description.versioninfo:eu-repo/semantics/publishedVersion
dc.identifier.isbn978-1-5386-0810-4
dc.identifier.issn2376-631X
dc.identifier.urihttp://hdl.handle.net/10400.1/13320
dc.language.isoeng
dc.peerreviewedyes
dc.publisherIeee
dc.relation.ispartofseriesExperiment at International Conference
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/
dc.subjectAssociation
dc.subjectApnea
dc.titleSensory system for the sleep disorders detection in the geriatric population
dc.typeconference object
dspace.entity.typePublication
oaire.citation.conferencePlaceFaro, Portugal
oaire.citation.endPage334
oaire.citation.startPage329
oaire.citation.titleProceedings of 2017 4th Experiment@International Conference (Exp.At'17)
oaire.citation.title4th Experiment@ International Conference (Exp.At)
person.familyNameRuano
person.givenNameMaria
person.identifier.ciencia-id9811-A0DD-D5A5
person.identifier.orcid0000-0002-0014-9257
person.identifier.ridA-8321-2011
person.identifier.scopus-author-id7004483805
rcaap.rightsrestrictedAccess
rcaap.typeconferenceObject
relation.isAuthorOfPublication61fc8492-d73f-46ca-a3a3-4cd762a784e6
relation.isAuthorOfPublication.latestForDiscovery61fc8492-d73f-46ca-a3a3-4cd762a784e6

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