Estimating vigilance level by using EEG and EMG signals

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dc.contributor.authorAkin, Mehmet
dc.contributor.authorKurt, Muhammed B.
dc.contributor.authorSezgin, Necmettin
dc.contributor.authorBayram, Muhittin
dc.date.accessioned2024-04-24T16:01:55Z
dc.date.available2024-04-24T16:01:55Z
dc.date.issued2008
dc.departmentDicle Üniversitesien_US
dc.description.abstractWe developed a new method for estimation of vigilance level by using both EEG and EMG signals recorded during transition from wakefulness to sleep. Previous studies used only EEG signals for estimating the vigilance levels. In this study, it was aimed to estimate vigilance level by using both EEG and EMG signals for increasing the accuracy of the estimation rate. In our work, EEG and EMG signals were obtained from 30 subjects. In data preparation stage, EEG signals were separated to its subbands using wavelet transform for efficient discrimination, and chin EMG was used to verify and eliminate the movement artifacts. The changes in EEG and EMG were diagnosed while transition from wakefulness to sleep by using developed artificial neural network (ANN). Training and testing data sets consist of the subbanded components of EEG and power density of EMG signals were applied to the ANN for training and testing the system which gives three situations for the vigilance level of the subject: awake, drowsy, and sleep. The accuracy of estimation was about 98-99% while the accuracy of the previous study, which uses only EEG, was 95-96%.en_US
dc.identifier.doi10.1007/s00521-007-0117-7
dc.identifier.endpage236en_US
dc.identifier.issn0941-0643
dc.identifier.issn1433-3058
dc.identifier.issue3en_US
dc.identifier.scopus2-s2.0-42549164545
dc.identifier.scopusqualityQ1
dc.identifier.startpage227en_US
dc.identifier.urihttps://doi.org/10.1007/s00521-007-0117-7
dc.identifier.urihttps://hdl.handle.net/11468/14495
dc.identifier.volume17en_US
dc.identifier.wosWOS:000255256400003
dc.identifier.wosqualityQ4
dc.indekslendigikaynakWeb of Science
dc.indekslendigikaynakScopus
dc.language.isoenen_US
dc.publisherSpringer London Ltden_US
dc.relation.ispartofNeural Computing & Applications
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectDrowsyen_US
dc.subjectSleepen_US
dc.subjectEegen_US
dc.subjectEmgen_US
dc.subjectWaveleten_US
dc.subjectNeural Networken_US
dc.titleEstimating vigilance level by using EEG and EMG signalsen_US
dc.titleEstimating vigilance level by using EEG and EMG signals
dc.typeArticleen_US

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