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Institutional Repository [SANDBOX]
Technical University of Crete
Technical University of Crete
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| URI | http://purl.tuc.gr/dl/dias/36938949-5D76-4DBA-853C-B8AB01225DA3 | - |
| Identifier | https://doi.org/10.1109/BIBE.2019.00166 | - |
| Identifier | https://ieeexplore.ieee.org/document/8941916 | - |
| Language | en | - |
| Extent | 4 pages | en |
| Title | Seizure detection using common spatial patterns and classification techniques | en |
| Creator | Giannakakis Georgios | en |
| Creator | Γιαννακακης Γεωργιος | el |
| Creator | Tsekos Nikolaos | en |
| Creator | Τσεκος Νικολαος | el |
| Creator | Giannakaki Aikaterini-Antonia | en |
| Creator | Γιαννακακη Αικατερινη-Αντωνια | el |
| Creator | Michalopoulos Kostas | en |
| Creator | Vorgia Pelagia | en |
| Creator | Zervakis Michail | en |
| Creator | Ζερβακης Μιχαηλ | el |
| Publisher | Institute of Electrical and Electronics Engineers | en |
| Content Summary | This paper investigates the effectiveness of Common Spatial Patterns (CSP) analysis of EEG signals on the automatic detection of focal epileptic seizures. Focal seizures are characterized by unilaterally triggered abnormal brain activity. CSP analysis has been frequently used in literature for multichannel EEG signal separation between two states. In the present study, EEG recordings from 10 subjects aged 7.7±4.4 years, including 63 seizures, were analyzed with respect to seizure detection and discrimination between interictal and ictal periods. Machine learning techniques of feature selection and classification were used in the analysis, resulting in a best achieved classification accuracy of 91.1%. | en |
| Type of Item | Πλήρης Δημοσίευση σε Συνέδριο | el |
| Type of Item | Conference Full Paper | en |
| License | http://creativecommons.org/licenses/by/4.0/ | en |
| Date of Item | 2020-04-22 | - |
| Date of Publication | 2019 | - |
| Subject | Common spatial patterns | en |
| Subject | CSP | en |
| Subject | EEG | en |
| Subject | Focal epilepsy | en |
| Subject | Seizure detection | en |
| Bibliographic Citation | G. Giannakakis, N. Tsekos, K. Giannakaki, K. Michalopoulos, P. Vorgia and M. Zervakis, "Seizure detection using common spatial patterns and classification techniques," in 19th International Conference on Bioinformatics and Bioengineering, 2019, pp. 890-893. doi: 10.1109/BIBE.2019.00166 | en |
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