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dc.contributor.authorMoret-Bonillo, Vicente
dc.contributor.authorÁlvarez-Estévez, Diego
dc.contributor.authorFernández-Leal, Ángel
dc.contributor.authorHernández-Pereira, Elena
dc.date.accessioned2016-02-25T16:25:35Z
dc.date.available2016-02-25T16:25:35Z
dc.date.issued2014-06-13
dc.identifier.citationMoret-Bonillo, Vicente and Alvarez-Estévez, Diego and Fernández-Leal, Ángel and Hernández-Pereira, Elena. Intelligent Approach for Analysis of Respiratory Signals and Oxygen Saturation in the Sleep Apnea/Hypopnea Syndrome}, The open medical informatics journal, vol. 8,p.1-19, 2014.es_ES
dc.identifier.issn1874-4311
dc.identifier.urihttp://hdl.handle.net/2183/16120
dc.descriptiondoi: 10.2174/1874431101408010001es_ES
dc.description.abstractThis work deals with the development of an intelligent approach for clinical decision making in the diagnosis of the Sleep Apnea/Hypopnea Syndrome, SAHS, from the analysis of respiratory signals and oxygen saturation in arterial blood, SaO2. In order to accomplish the task the proposed approach makes use of different artificial intelligence techniques and reasoning processes being able to deal with imprecise data. These reasoning processes are based on fuzzy logic and on temporal analysis of the information. The developed approach also takes into account the possibility of artifacts in the monitored signals. Detection and characterization of signal artifacts allows detection of false positives. Identification of relevant diagnostic patterns and temporal correlation of events is performed through the implementation of temporal constraints.es_ES
dc.language.isoenges_ES
dc.publisherBentham Openes_ES
dc.relation.urihttp://www.ncbi.nlm.nih.gov/pmc/articles/PMC4101190/es_ES
dc.rightsReconocimiento-NoComercial 4.0 Internacional
dc.rights.urihttp://creativecommons.org/licenses/by-nc/4.0/
dc.subjectArtificial intelligence in medicinees_ES
dc.subjectDecision support systemses_ES
dc.subjectFuzzy logices_ES
dc.subjectIntelligent monitoringes_ES
dc.subjectSignal processinges_ES
dc.subjectSleep apneases_ES
dc.subjectTemporal reasoninges_ES
dc.titleIntelligent approach for analysis of respiratory signals and oxygen saturation in the sleep apnea/hypopnea syndromees_ES
dc.typeinfo:eu-repo/semantics/articlees_ES
dc.rights.accessinfo:eu-repo/semantics/openAccesses_ES


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