Classification of Seizure Prone EEG Signal Using Amplitude and Frequency Based Parameters of Intrinsic Mode Functions
Author:
Publisher
Springer Science and Business Media LLC
Subject
Biomedical Engineering,General Medicine
Link
http://link.springer.com/article/10.1007/s40846-017-0275-8/fulltext.html
Reference67 articles.
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3. Li, Z., Martins da Silva, A., & Cunha, J. P. S. (2002). Movement quantification in epileptic seizures: A new approach to video-EEG analysis. IEEE Transactions on Biomedical Engineering, 49(6), 565–573. doi: 10.1109/TBME.2002.1001971 .
4. Cuppens, K., Lagae, L., Ceulemans, B., Van Huffel, S., & Vanrumste, B. (2009). Detection of nocturnal frontal lobe seizures in pediatric patients by means of accelerometers: A first study. In Proceedings of the 31st Annual International Conference of the IEEE Engineering in Medicine and Biology Society: Engineering the Future of Biomedicine (pp. 6608–6611). doi: 10.1109/IEMBS.2009.5332557 .
5. Cuppens, K., Vanrumste, B., Ku, M. K. H. K., Chen, C., Wong, K. B., Huffel, S. Van, & Leuven, K. U. (2012). Integrating video and accelerometer signals for nocturnal epileptic seizure detection. In Proceedings of the 14th ACM International Conference on Multimodal Interaction (pp. 161–164). doi: 10.1145/2388676.2388710 .
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