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A contribution for the automatic sleep classification based on the Itakura-Saito spectral distance

2010Documento de conferência Acesso aberto
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dc.contributor.authorCardoso, Eduardo
dc.contributor.authorBatista, Arnaldo
dc.contributor.authorRodrigues, Rui
dc.contributor.authorOrtigueira, Manuel
dc.contributor.authorBárbara, Cristina
dc.contributor.authorMartinho, Cristina
dc.contributor.authorRato, Raul
dc.contributor.institutionDEE2010-A2 Electrónica
dc.contributor.institutionDEE - Departamento de Engenharia Electrotécnica e de Computadores
dc.contributor.institutionDM - Departamento de Matemática
dc.contributor.institutionDEE2010-B2 Sistemas
dc.coverage.spatialBerlin, Heidelberg
dc.date.accessioned2021-03-06T00:03:11Z
dc.date.available2021-03-06T00:03:11Z
dc.date.issued2010
dc.description.abstractSleep staging is a crucial step before the scoring the sleep apnoea, in subjects that are tested for this condition. These patients undergo a whole night polysomnography recording that includes EEG, EOG, ECG, EMG and respiratory signals. Sleep staging refers to the quantification of its depth. Despite the commercial sleep software being able to stage the sleep, there is a general lack of confidence amongst health practitioners of these machine results. Generally the sleep scoring is done over the visual inspection of the overnight patient EEG recording, which takes the attention of an expert medical practitioner over a couple of hours. This contributes to a waiting list of two years for patients of the Portuguese Health Service. In this work we have used a spectral comparison method called Itakura distance to be able to make a distinction between sleepy and awake epochs in a night EEG recording, therefore automatically doing the staging. We have used the data from 20 patients of Hospital Pulido Valente, which had been previously visually expert scored. Our technique results were promising, in a way that Itakura distance can, by itself, distinguish with a good degree of certainty the N2, N3 and awake states. Pre-processing stages for artefact reduction and baseline removal using Wavelets were applied.en
dc.description.versionpublishersversion
dc.description.versionpublished
dc.format.extent8
dc.format.extent866273
dc.identifier.doi10.1007/978-3-642-11628-5_41
dc.identifier.isbn978-3-642-11627-8
dc.identifier.isbn978-3-642-11628-5
dc.identifier.issn1868-4238
dc.identifier.otherPURE: 28468647
dc.identifier.otherPURE UUID: 949447cb-9d4e-4d53-b3c1-8c8c1769fc81
dc.identifier.otherScopus: 77649332991
dc.identifier.otherWOS: 000277119500041
dc.identifier.otherORCID: /0000-0002-2287-4265/work/90101708
dc.identifier.otherORCID: /0000-0003-4270-3284/work/90101764
dc.identifier.urihttp://hdl.handle.net/10362/113260
dc.identifier.urlhttps://www.scopus.com/pages/publications/77649332991
dc.language.isoeng
dc.peerreviewedyes
dc.publisherSpringer
dc.subjectAR modelling
dc.subjectEEG signal processing
dc.subjectItakura-Saito Distance
dc.subjectSleep Staging
dc.subjectInformation Systems
dc.subjectComputer Networks and Communications
dc.subjectInformation Systems and Management
dc.titleA contribution for the automatic sleep classification based on the Itakura-Saito spectral distanceen
dc.typeconference object
degois.publication.firstPage374
degois.publication.lastPage381
degois.publication.titleEmerging Trends in Technological Innovation: First IFIP WG 5.5/SOCOLNET Doctoral Conference on Computing, Electrical and Industrial Systems, DoCEIS 2010, Costa de Caparica, Portugal, February 22-24, 2
dspace.entity.typePublication
rcaap.rightsopenAccess

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