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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/A963A309-F1AC-491B-831B-4C527016F2AE | - |
| Identifier | https://doi.org/10.1109/ISCCSP.2008.4537186 | - |
| Identifier | https://ieeexplore.ieee.org/document/4537186 | - |
| Language | en | - |
| Extent | 6 pages | en |
| Title | ARMA modeling for the diagnosis of controlled epileptic activity in young children | en |
| Creator | Zervakis Michalis | en |
| Creator | Ζερβακης Μιχαλης | el |
| Creator | Camilleri K. P. | en |
| Creator | Μιχελογιάννης Σήφης | el |
| Creator | Michelogiannis Sifis | en |
| Creator | Micheloyannis Sifis | en |
| Creator | Fabri S. G. | en |
| Creator | Cassar T. A. | en |
| Publisher | Institute of Electrical and Electronics Engineers | en |
| Content Summary | Parametric models are widely used for EEG data analysis. In this experimental study an autoregressive moving average (ARMA) model was used to extract spectral features within defined frequency bands which were then used to discriminate a group of children with controlled mild epilepsy from an age- and sex-matched control group. This study differs from other published works in that it shows that this technique can be used as a biomarker to distinguish the epileptic subjects specifically when the EEG recordings of these subjects are clinically diagnosed as normal. Using the spectral features and a linear discriminant classifier a global classification score of up to 85% was achieved on our clinical data. Furthermore the results showed that epileptic children have significantly higher spectral power in frequency bands up to 45 Hz, with the largest difference occurring within the alpha band. | 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 | 2015-10-25 | - |
| Date of Publication | 2008 | - |
| Subject | Epilepsy | en |
| Subject | Brain modeling | en |
| Subject | Autoregressive processes | en |
| Subject | EEG | en |
| Subject | Electroencephalography | en |
| Subject | Frequency | en |
| Subject | Parametric statistics | en |
| Subject | Data analysis | en |
| Subject | Data mining | en |
| Subject | Feature extraction | en |
| Subject | Biomarkers | en |
| Bibliographic Citation | T.A. Cassar, K.P. Camilleri, S.G. Fabri, M. Zervakis and S. Micheloyannis," ARMA modeling for the diagnosis of controlled epileptic activity in young children,"in 3rd International Symposium on Communications, Control and Signal Processing, 2008, pp.25-30. doi:10.1109/ISCCSP.2008.4537186 | en |
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