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dc.contributor.authorSolà Soler, Jordi
dc.contributor.authorFiz Fernández, José Antonio
dc.contributor.authorTorres Cebrián, Abel
dc.contributor.authorJané Campos, Raimon
dc.contributor.otherUniversitat Politècnica de Catalunya. Departament d'Enginyeria de Sistemes, Automàtica i Informàtica Industrial
dc.contributor.otherInstitut de Bioenginyeria de Catalunya
dc.date.accessioned2015-04-10T08:46:07Z
dc.date.created2014
dc.date.issued2014
dc.identifier.citationSolà Soler, J. [et al.]. Identification of Obstructive Sleep Apnea patients from tracheal breath sound analysis during wakefulness in polysomnographic studies. A: IEEE Engineering in Medicine and Biology Society. "36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (IEEE EMBC)". Chicago: 2014, p. 4232-4235.
dc.identifier.isbn978-1-4244-7929-0
dc.identifier.urihttp://hdl.handle.net/2117/27234
dc.description.abstractObstructive Sleep Apnea (OSA) is currently diagnosed by a full nocturnal polysomnography (PSG), a very expensive and time-consuming method. In previous studies we were able to distinguish patients with OSA through formant frequencies of breath sound during sleep. In this study we aimed at identifying OSA patients from breath sound analysis during wakefulness. The respiratory sound was acquired by a tracheal microphone simultaneously to PSG recordings. We selected several cycles of consecutive inspiration and exhalation episodes in 10 mild-moderate (AHI<;30) and 13 severe (AHI>=30) OSA patients during their wake state before getting asleep. Each episode's formant frequencies were estimated by linear predictive coding. We studied several formant features, as well as their variability, in consecutive inspiration and exhalation episodes. In most subjects formant frequencies were similar during inspiration and exhalation. Formant features in some specific frequency band were significantly different in mild OSA as compared to severe OSA patients, and showed a decreasing correlation with OSA severity. These formant characteristics, in combination with some anthropometric measures, allowed the classification of OSA subjects between mild-moderate and severe groups with sensitivity (specificity) up to 88.9% (84.6%) and accuracy up to 86.4%. In conclusion, the information provided by formant frequencies of tracheal breath sound recorded during wakefulness may allow identifying subjects with severe OSA.
dc.format.extent4 p.
dc.language.isoeng
dc.subjectÀrees temàtiques de la UPC::Enginyeria biomèdica::Electrònica biomèdica
dc.subjectÀrees temàtiques de la UPC::Ciències de la salut::Medicina
dc.subject.lcshSleep apnea-hypopnea syndrome
dc.subject.lcshSAHS
dc.subject.lcshSleep disordered breathing
dc.subject.otherCorrelation
dc.subject.otherDatabases
dc.subject.otherSensitivity
dc.subject.otherSleep apnea
dc.subject.otherSpeech
dc.subject.otherSynchronization
dc.subject.otherAnthropometry
dc.subject.otherCorrelation methods
dc.subject.otherMedical disorders
dc.subject.otherMedical signal detection
dc.subject.otherMedical signal processing
dc.subject.otherNeurophysiology
dc.subject.otherPneumodynamics
dc.subject.otherSleep
dc.subject.otherOSA
dc.subject.otherPSG
dc.subject.otherAnthropometric measures
dc.subject.otherExhalation
dc.subject.otherInspiration
dc.subject.otherObstructive sleep apnea patient identification
dc.subject.otherPolysomnography
dc.subject.otherTracheal breath sound analysis
dc.subject.otherTracheal microphone
dc.subject.otherWakefulness
dc.titleIdentification of Obstructive Sleep Apnea patients from tracheal breath sound analysis during wakefulness in polysomnographic studies
dc.typeConference report
dc.subject.lemacSíndromes d'apnea del son
dc.subject.lemacSAOS
dc.subject.lemacRespiració -- Mesurament
dc.subject.lemacApnea
dc.contributor.groupUniversitat Politècnica de Catalunya. BIOSPIN - Biomedical Signal Processing and Interpretation
dc.identifier.doi10.1109/EMBC.2014.6944558
dc.description.peerreviewedPeer Reviewed
dc.relation.publisherversionhttp://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6944558
dc.rights.accessRestricted access - publisher's policy
drac.iddocument15551709
dc.description.versionPostprint (published version)
dc.date.lift10000-01-01
upcommons.citation.authorSolà Soler, J.; Fiz, J.; Torres, A.; Jane, R.
upcommons.citation.contributorIEEE Engineering in Medicine and Biology Society
upcommons.citation.pubplaceChicago
upcommons.citation.publishedtrue
upcommons.citation.publicationName36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (IEEE EMBC)
upcommons.citation.startingPage4232
upcommons.citation.endingPage4235


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