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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-
Αναγνωριστικόhttps://doi.org/10.1109/BIBE.2019.00165-
Αναγνωριστικόhttps://ieeexplore.ieee.org/document/8941785-
Γλώσσαen-
Μέγεθος4 pagesen
ΤίτλοςAutomatic absence seizure detection evaluating matching pursuit features of EEG signalsen
ΔημιουργόςGiannakaki Aikaterini-Antoniaen
ΔημιουργόςΓιαννακακη Αικατερινη-Αντωνιαel
ΔημιουργόςGiannakakis Georgiosen
ΔημιουργόςΓιαννακακης Γεωργιοςel
ΔημιουργόςVorgia Pelagiaen
ΔημιουργόςKlados Manousos A.en
ΔημιουργόςZervakis Michailen
ΔημιουργόςΖερβακης Μιχαηλel
ΕκδότηςInstitute of Electrical and Electronics Engineersen
ΠερίληψηThis 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
ΤύποςΠλήρης Δημοσίευση σε Συνέδριοel
ΤύποςConference Full Paperen
Άδεια Χρήσηςhttp://creativecommons.org/licenses/by/4.0/en
Ημερομηνία2020-04-22-
Ημερομηνία Δημοσίευσης2019-
Θεματική ΚατηγορίαClassificationen
Θεματική ΚατηγορίαEEGen
Θεματική ΚατηγορίαMatching pursuiten
Θεματική ΚατηγορίαSeizureen
Θεματική ΚατηγορίαSeizure detectionen
Βιβλιογραφική ΑναφοράK. 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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