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Automatic absence seizure detection evaluating matching pursuit features of EEG signals

Giannakaki Aikaterini-Antonia, Giannakakis Georgios, Vorgia Pelagia, Klados Manousos A., Zervakis Michail

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URIhttp://purl.tuc.gr/dl/dias/531B8930-A4F4-4E58-AA38-8F1C1184A9C9-
Identifierhttps://doi.org/10.1109/BIBE.2019.00165-
Identifierhttps://ieeexplore.ieee.org/document/8941785-
Languageen-
Extent4 pagesen
TitleAutomatic absence seizure detection evaluating matching pursuit features of EEG signalsen
CreatorGiannakaki Aikaterini-Antoniaen
CreatorΓιαννακακη Αικατερινη-Αντωνιαel
CreatorGiannakakis Georgiosen
CreatorΓιαννακακης Γεωργιοςel
CreatorVorgia Pelagiaen
CreatorKlados Manousos A.en
CreatorZervakis Michailen
CreatorΖερβακης Μιχαηλel
PublisherInstitute of Electrical and Electronics Engineersen
Content SummaryThis paper evaluates the usage of matching pursuit (MP) features of electroencephalographic (EEG) signals and classification techniques on automatic absence seizure detection. Absence epileptic seizures are neurological disorders which are manifested as abnormal EEG patterns. Matching pursuit algorithm is able to decompose a signal into components with specific time-frequency characteristics. It is a robust technique especially when there is complex, multicomponent signal. In the present study, a clinical dataset containing 40 annotated absence seizures in long-term EEG recordings from pediatric epileptic patients (with age 6.0±2.9 years) was analyzed. The extracted MP features fed an automatic classification schema which achieved a time window based discrimination accuracy of 98.5%. As indicated by the study's results, the proposed features and analysis methods can be a promising addition to the area of automatic absence seizures detection.en
Type of ItemΠλήρης Δημοσίευση σε Συνέδριοel
Type of ItemConference Full Paperen
Licensehttp://creativecommons.org/licenses/by/4.0/en
Date of Item2020-04-22-
Date of Publication2019-
SubjectClassificationen
SubjectEEGen
SubjectMatching pursuiten
SubjectSeizureen
SubjectSeizure detectionen
Bibliographic CitationK. Giannakaki, G. Giannakakis, P. Vorgia, M. Klados and M. Zervakis, "Automatic absence seizure detection evaluating matching pursuit features of EEG signals," in 19th International Conference on Bioinformatics and Bioengineering, 2019, pp. 886-889. doi: 10.1109/BIBE.2019.00165en

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