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dc.creatorGaiduk, Maksymes
dc.creatorOrcioni, Simonees
dc.creatorConti, Massimoes
dc.creatorSeepold, Ralfes
dc.creatorPenzel, Thomases
dc.creatorMartínez Madrid, Natividades
dc.creatorOrtega Ramírez, Juan Antonioes
dc.date.accessioned2023-02-17T10:53:51Z
dc.date.available2023-02-17T10:53:51Z
dc.date.issued2020-07
dc.identifier.citationGaiduk, M., Orcioni, S., Conti, M., Seepold, R., Penzel, T., Martínez Madrid, N. y Ortega Ramírez, J.A. (2020). Embedded system for non-obtrusive sleep apnea detection. En EMBC 2020: 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (2276-2279), Montreal, Canadá: IEEE.
dc.identifier.isbn978-1-7281-1991-5 (impreso por demanda)es
dc.identifier.isbn978-1-7281-1990-8 (online)es
dc.identifier.issn2375-7477 (impreso por demanda)es
dc.identifier.issn2694-0604 (online)es
dc.identifier.urihttps://hdl.handle.net/11441/142766
dc.description.abstractThis document presents a new complete standalone system for a recognition of sleep apnea using signals from the pressure sensors placed under the mattress. The developed hardware part of the system is tuned to filter and to amplify the signal. Its software part performs more accurate signal filtering and identification of apnea events. The overall achieved accuracy of the recognition of apnea occurrence is 91%, with the average measured recognition delay of about 15 seconds, which confirms the suitability of the proposed method for future employment. The main aim of the presented approach is the support of the healthcare system with the cost-efficient tool for recognition of sleep apnea in the home environment.es
dc.formatapplication/pdfes
dc.format.extent4es
dc.language.isoenges
dc.publisherIEEEes
dc.relation.ispartofEMBC 2020: 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (2020), pp. 2276-2279.
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 Internacional*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/*
dc.titleEmbedded system for non-obtrusive sleep apnea detectiones
dc.typeinfo:eu-repo/semantics/conferenceObjectes
dcterms.identifierhttps://ror.org/03yxnpp24
dc.type.versioninfo:eu-repo/semantics/publishedVersiones
dc.rights.accessRightsinfo:eu-repo/semantics/openAccesses
dc.contributor.affiliationUniversidad de Sevilla. Departamento de Lenguajes y Sistemas Informáticoses
dc.relation.publisherversionhttps://ieeexplore.ieee.org/document/9176075es
dc.identifier.doi10.1109/EMBC44109.2020.9176075es
dc.publication.initialPage2276es
dc.publication.endPage2279es
dc.eventtitleEMBC 2020: 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Societyes
dc.eventinstitutionMontreal, Canadáes

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