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dc.contributor.authorLozano García, Manuel
dc.contributor.authorNuhic, Jasna
dc.contributor.authorMoxham, John
dc.contributor.authorRafferty, Gerrard F.
dc.contributor.authorJolley, J
dc.contributor.authorJané Campos, Raimon
dc.contributor.otherUniversitat Politècnica de Catalunya. Departament d'Enginyeria de Sistemes, Automàtica i Informàtica Industrial
dc.date.accessioned2021-04-15T13:39:02Z
dc.date.available2021-04-15T13:39:02Z
dc.date.issued2020
dc.identifier.citationLozano, M. [et al.]. Performance evaluation of fixed sample entropy for lung sound intensity estimation. A: Annual International Conference of the IEEE Engineering in Medicine and Biology Society. "EMBC'20: 42nd Annual International Conferences of the IEEE Engineering in Medicine and Biology Society: 20-24 July 2020: Montreal, Canada". Institute of Electrical and Electronics Engineers (IEEE), p. 1-4. ISBN 978-1-7281-1991-5. DOI 10.1109/EMBC44109.2020.9176215.
dc.identifier.isbn978-1-7281-1991-5
dc.identifier.urihttp://hdl.handle.net/2117/343801
dc.description.abstractung sound (LS) signals are often contaminated by impulsive artifacts that complicate the estimation of lung sound intensity (LSI) using conventional amplitude estimators. Fixed sample entropy (fSampEn) has proven to be robust to cardiac artifacts in myographic respiratory signals. Similarly, fSampEn is expected to be robust to artifacts in LS signals, thus providing accurate LSI estimates. However, the choice of fSampEn parameters depends on the application and fSampEn has not previously been applied to LS signals. This study aimed to perform an evaluation of the performance of the most relevant fSampEn parameters on LS signals, and to propose optimal fSampEn parameters for LSI estimation. Different combinations of fSampEn parameters were analyzed in LS signals recorded in a heterogeneous population of healthy subjects and chronic obstructive pulmonary disease patients during loaded breathing. The performance of fSampEn was assessed by means of its cross-covariance with flow signals, and optimal fSampEn parameters for LSI estimation were proposed.
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
dc.subject.lcshBioengineering
dc.titlePerformance evaluation of fixed sample entropy for lung sound intensity estimation
dc.typeConference report
dc.subject.lemacPulmons
dc.subject.lemacBioenginyeria
dc.contributor.groupUniversitat Politècnica de Catalunya. BIOSPIN - Biomedical Signal Processing and Interpretation
dc.identifier.doi10.1109/EMBC44109.2020.9176215
dc.relation.publisherversionhttps://ieeexplore.ieee.org/abstract/document/9176215
dc.rights.accessOpen Access
local.identifier.drac30751617
dc.description.versionPostprint (author's final draft)
local.citation.authorLozano, M.; Nuhic, J.; Moxham, J.; Rafferty, G.; Jolley, J.; Jane, R.
local.citation.contributorAnnual International Conference of the IEEE Engineering in Medicine and Biology Society
local.citation.publicationNameEMBC'20: 42nd Annual International Conferences of the IEEE Engineering in Medicine and Biology Society: 20-24 July 2020: Montreal, Canada
local.citation.startingPage1
local.citation.endingPage4


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