Epileptic Seizure Prediction Using Artificial Intelligence Methods
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Publisher
Springer Nature Switzerland
Link
https://link.springer.com/content/pdf/10.1007/978-3-031-35248-5_70
Reference12 articles.
1. Scheffer, I.E., Berkovic, S., Capovilla, G., Connolly, M.B., French, J., et al.: ILAE classification of Theepilepsies: position paper of the ILAE commission for classification and terminology. Epilepsia 58, 512–521 (2017)
2. Kobayashi, K., James, C.J., Nakahori, T., Akiyama, T., Gotman, J.: Isolation of Epileptiform discharges from Unaveraged EEG by independent component analysis. Clin. Neurophysiol. 110(10), 1755–1763 (1999)
3. Ossadtchi, A., Baillet, S., Mosher, J.C., Thyerlei, D., Sutherling, W., Leahy, R.M.: Automated interictal spike detection and source localization in magnetoencephalography using independent components analysis and spatio-temporal clustering. Clin. Neurophysiol. 115(3), 508–522 (2004)
4. Williamson, J.R., Bliss, D.W., Browne, D.W., Narayanan, J.T.: Seizure prediction using EEG spatiotemporal correlation structure. Epilepsy Behav. 25(2), 230–238 (2012)
5. Chisci, L., et al.: Real-time Epileptic Seizure prediction using AR models and support vector machines. IEEE Trans. Biomed. Eng. 57(5), 1124–1132 (2010)
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