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Sleep Analysis by Evaluating the Cyclic Alternating Pattern A Phases

2024Journal article Open access
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dc.contributor.authorAlves, Arturo
dc.contributor.authorMendonça, Fábio
dc.contributor.authorMostafa, Sheikh Shanawaz
dc.contributor.authorDias, Fernando Morgado
dc.date.accessioned2024-02-19T15:53:06Z
dc.date.available2024-02-19T15:53:06Z
dc.date.issued2024
dc.description.abstractSleep is a complex process divided into different stages, and a decrease in sleep quality can lead to adverse health-related effects. Therefore, diagnosing and treating sleep-related conditions is crucial. The Cyclic Alternating Pattern (CAP) is an indicator of sleep instability and can assist in assessing sleep-related disorders such as sleep apnea. However, manually detecting CAP-related events is time-consuming and challenging. Therefore, automatic detection is needed. Despite their usually higher performance, the utilization of deep learning solutions may result in models that lack interpretability. Addressing this issue can be achieved through the implementation of feature-based analysis. Nevertheless, it becomes necessary to identify which features can better highlight the patterns associated with CAP. Such is the purpose of this work, where 98 features were computed from the patient’s electroencephalographic signals and used to train a neural network to identify the CAP activation phases. Feature selection and model tuning with a genetic algorithm were also employed to improve the classification results. The proposed method’s performance was found to be among the best state-of-the-art works that use more complex models.pt_PT
dc.description.versioninfo:eu-repo/semantics/publishedVersionpt_PT
dc.identifier.citationAlves, A.; Mendonça, F.; Mostafa, S.S.; Morgado-Dias, F. Sleep Analysis by Evaluating the Cyclic Alternating Pattern A Phases. Electronics 2024, 13, 333. https:// doi.org/10.3390/electronics13020333pt_PT
dc.identifier.doi10.3390/electronics13020333pt_PT
dc.identifier.urihttp://hdl.handle.net/10400.13/5564
dc.language.isoengpt_PT
dc.peerreviewedyespt_PT
dc.publisherMDPIpt_PT
dc.relationLaboratory of Robotics and Engineering Systems
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/pt_PT
dc.subjectCAP A phasept_PT
dc.subjectEEGpt_PT
dc.subjectFeature interpretationpt_PT
dc.subjectModel optimizationpt_PT
dc.subjectSleep analysispt_PT
dc.subject.pt_PT
dc.subjectFaculdade de Ciências Exatas e da Engenhariapt_PT
dc.titleSleep Analysis by Evaluating the Cyclic Alternating Pattern A Phasespt_PT
dc.typejournal article
dspace.entity.typePublication
oaire.awardTitleLaboratory of Robotics and Engineering Systems
oaire.awardURIinfo:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/UIDP%2F50009%2F2020/PT
oaire.citation.issue2pt_PT
oaire.citation.startPage333pt_PT
oaire.citation.titleElectronicspt_PT
oaire.citation.volume13pt_PT
oaire.fundingStream6817 - DCRRNI ID
person.familyNameSilva Mendonça
person.familyNameMostafa
person.familyNameMorgado-Dias
person.givenNameFábio Rúben
person.givenNameSheikh Shanawaz
person.givenNameFernando
person.identifier34497
person.identifier.ciencia-id7F1E-8AE9-3098
person.identifier.ciencia-idEE14-BEB3-F82B
person.identifier.ciencia-id7B14-DF07-AA6D
person.identifier.orcid0000-0002-5107-3248
person.identifier.orcid0000-0002-7677-0971
person.identifier.orcid0000-0001-7334-3993
person.identifier.ridN-9228-2015
person.identifier.scopus-author-id55489640900
project.funder.identifierhttp://doi.org/10.13039/501100001871
project.funder.nameFundação para a Ciência e a Tecnologia
rcaap.rightsopenAccesspt_PT
rcaap.typearticlept_PT
relation.isAuthorOfPublication0dbad4bf-3a0c-4c43-8022-42199a5e09c0
relation.isAuthorOfPublicationf90aafd0-eedb-47ea-945a-40b1c1fe802a
relation.isAuthorOfPublication042f7593-c6ca-4553-8f0e-12ccf17018be
relation.isAuthorOfPublication.latestForDiscoveryf90aafd0-eedb-47ea-945a-40b1c1fe802a
relation.isProjectOfPublication65c3c27c-25ba-4381-886e-5ef18bb45fd9
relation.isProjectOfPublication.latestForDiscovery65c3c27c-25ba-4381-886e-5ef18bb45fd9

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