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dc.contributor.authorLozano García, Manuel
dc.contributor.authorDavidson, Clare M.
dc.contributor.authorJané Campos, Raimon
dc.contributor.otherUniversitat Politècnica de Catalunya. Departament d'Enginyeria de Sistemes, Automàtica i Informàtica Industrial
dc.date.accessioned2020-04-03T11:09:33Z
dc.date.issued2019
dc.identifier.citationLozano, M.; M. Davidson, C.; Jane, R. Analysis of tracheal and pulmonary continuous adventitious respiratory sounds in asthma. A: Annual International Conference of the IEEE Engineering in Medicine and Biology Society. "2019 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC): proceedings". Institute of Electrical and Electronics Engineers (IEEE), 2019, p. 4930-4933.
dc.identifier.isbn978-1-5386-1311-5
dc.identifier.urihttp://hdl.handle.net/2117/183081
dc.description.abstractContinuous adventitious sounds (CAS) are commonly observed in obstructive pulmonary diseases and are of great clinical interest. However, their evaluation is generally subjective. We have previously developed an automatic CAS segmentation and classification algorithm for CAS recorded on the chest surface. The aim of this study is to establish whether these pulmonary CAS can be identified in a similar way using a tracheal microphone. Respiratory sounds were originally recorded from 25 participants using five contact microphones, four on the chest and one on the trachea, during three progressive respiratory maneuvers. In this work CAS component detection was performed on the tracheal channel using our automatic algorithm based on the Hilbert spectrum. The tracheal CAS detected were then compared to the previously analyzed pulmonary CAS. The sensitivity of CAS identification was lower at the tracheal microphone, with CAS that appeared simultaneously in all four pulmonary recordings more likely to be identified in the tracheal recordings. These observations could be due to the CAS being obscured by the lower SNR present in the tracheal recordings or not being transmitted through the airways to the trachea. Further work to optimize the algorithm for the tracheal recordings will be conducted in the future.
dc.format.extent4 p.
dc.language.isoeng
dc.publisherInstitute of Electrical and Electronics Engineers (IEEE)
dc.rightsAttribution-NonCommercial-NoDerivs 3.0 Spain
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/3.0/es/
dc.subjectÀrees temàtiques de la UPC::Enginyeria biomèdica::Electrònica biomèdica
dc.subject.lcshElectromyography
dc.subject.lcshCardiovascular system -- Diseases
dc.subject.otherMicrophones
dc.subject.otherLung
dc.subject.otherDiseases
dc.subject.otherTime-frequency analysis
dc.subject.otherSpectrogram
dc.subject.otherSensitivity
dc.subject.otherNon-invasive respiratory monitoring
dc.subject.otherCardiorespiratory
dc.subject.otherMonitoring
dc.subject.otherSurface diaphragm
dc.subject.otherElectromyography
dc.subject.otherWearable wireless device
dc.subject.otherChronic respiratory diseases
dc.subject.otherFixed sample entropy
dc.titleAnalysis of tracheal and pulmonary continuous adventitious respiratory sounds in asthma
dc.typeConference lecture
dc.subject.lemacRespiració -- Mesurament
dc.subject.lemacElectromiografia
dc.subject.lemacSistema cardiovascular -- Malalties
dc.contributor.groupUniversitat Politècnica de Catalunya. BIOSPIN - Biomedical Signal Processing and Interpretation
dc.identifier.doi10.1109/EMBC.2019.8859310
dc.relation.publisherversionhttps://ieeexplore.ieee.org/document/8859310
dc.rights.accessRestricted access - publisher's policy
local.identifier.drac27097961
dc.description.versionPostprint (published version)
dc.date.lift10000-01-01
local.citation.authorLozano, M.; M. Davidson, C.; Jane, R.
local.citation.contributorAnnual International Conference of the IEEE Engineering in Medicine and Biology Society
local.citation.publicationName2019 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC): proceedings
local.citation.startingPage4930
local.citation.endingPage4933


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