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dc.contributor.authorMorgenstern de Muller, Christian
dc.contributor.authorRanderath, Winfried J.
dc.contributor.authorSchwaibold, Matthias
dc.contributor.authorBolz, Armin
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.accessioned2013-10-03T11:56:17Z
dc.date.created2013-03
dc.date.issued2013-03
dc.identifier.citationMorgenstern de Muller, C. [et al.]. Feasibility of noninvasive single-channel automated differentiation of obstructive and central hypopneas with nasal airflow. "Respiration", Març 2013, vol. 85, núm. 4, p. 312-318.
dc.identifier.issn0025-7931
dc.identifier.urihttp://hdl.handle.net/2117/20283
dc.description.abstractBackground: The identification of obstructive and central hypopneas is considered challenging in clinical practice. Presently, obstructive and central hypopneas are usually not differentiated or scores lack reliability due to the technical limitations of standard polysomnography. Esophageal pressure measurement is the gold-standard for identifying these events but its invasiveness deters its usage in daily practice. Objectives: To determine the feasibility and efficacy of an automatic noninvasive analysis method for the differentiation of obstructive and central hypopneas based solely on a single-channel nasal airflow signal. The obtained results are compared with gold-standard esophageal pressure scores. Methods: A total of 41 patients underwent full night polysomnography with systematic esophageal pressure recording. Two experts in sleep medicine independently differentiated hypopneas with the gold-standard esophageal pressure signal. Features were automatically extracted from the nasal airflow signal of each annotated hypopnea to train and test the automatic analysis method. Interscorer agreement between automatic and visual scorers was measured with Cohen’s kappa statistic (κ). Results: A total of 1,237 hypopneas were visually differentiated. The automatic analysis achieved an interscorer agreement of κ = 0.37 and an accuracy of 69% for scorer A, κ = 0.40 and 70% for scorer B and κ = 0.41 and 71% for the agreed scores of scorers A and B. Conclusions: The promising results obtained in this pilot study demonstrate the feasibility of noninvasive single-channel hypopnea differentiation. Further development of this method may help improving initial diagnosis with home screening devices and offering a means of therapy selection and/or control.
dc.format.extent7 p.
dc.language.isoeng
dc.subjectÀrees temàtiques de la UPC::Informàtica::Aplicacions de la informàtica::Bioinformàtica
dc.subjectÀrees temàtiques de la UPC::Informàtica::Automàtica i control
dc.subject.lcshSleep disordered breathing
dc.subject.otherCentral sleep hypopnea
dc.subject.otherEsophageal pressure
dc.subject.otherHome monitoring
dc.subject.otherObstructive sleep hypopnea
dc.subject.otherSleep disordered breathing
dc.titleFeasibility of noninvasive single-channel automated differentiation of obstructive and central hypopneas with nasal airflow
dc.typeArticle
dc.subject.lemacRespiració -- Mesurament
dc.contributor.groupUniversitat Politècnica de Catalunya. SISBIO - Senyals i Sistemes Biomèdics
dc.identifier.doi10.1159/000342010
dc.description.peerreviewedPeer Reviewed
dc.relation.publisherversionhttp://www.karger.com/Article/FullText/342010
dc.rights.accessRestricted access - publisher's policy
local.identifier.drac12496198
dc.description.versionPostprint (published version)
dc.date.lift10000-01-01
local.citation.authorMorgenstern de Muller, C.; Randerath, W.J.; Schwaibold, M.; Bolz, A.; Jane, R.
local.citation.publicationNameRespiration
local.citation.volume85
local.citation.number4
local.citation.startingPage312
local.citation.endingPage318


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