Epileptic seizure classifications of single-channel scalp EEG data using wavelet-based features and SVM
Author:
Funder
Thailand Research Fund
Publisher
Springer Science and Business Media LLC
Subject
Computer Science Applications,Biomedical Engineering
Link
http://link.springer.com/article/10.1007/s11517-017-1613-2/fulltext.html
Reference23 articles.
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3. Goldberger AL, Amaral LAN, Glass L, Hausdorff JM, Ivanov PC, Mark RG et al (2000) PhysioBank, physiotoolkit, and physionet: components of a new research resource for complex physiologic signals. Circulation 101(23):e215–e220
4. Greene BR, Faul S, Marnane WP, Lightbody G, Korotchikova I, Boylan GB (2008) A comparison of quantitative EEG features for neonatal seizure detection. Clin Neurophysiol 119:1248–1261
5. Hopfengärtner R, Kasper BS, Graf W, Gollwitzer S, Kreiselmeyer G, Stefan H et al (2014) Automatic seizure detection in long-term scalp EEG using an adaptive thresholding technique: a validation study for clinical routine. Clin Neurophysiol 125:1346–1352
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