Predicting Epileptic Seizures from EEG Spectral Band Features Using Convolutional Neural Network-Reference-Cited by-同舟云学术

Predicting Epileptic Seizures from EEG Spectral Band Features Using Convolutional Neural Network

Published:2022-04-06 Issue:3 Volume:125 Page:2667-2684
ISSN:0929-6212
Container-title:Wireless Personal Communications
language:en
Short-container-title:Wireless Pers Commun

Author:

Singh Kuldeep^ORCID,Malhotra Jyoteesh

Publisher

Springer Science and Business Media LLC

Subject

Electrical and Electronic Engineering,Computer Science Applications

Link

https://link.springer.com/content/pdf/10.1007/s11277-022-09678-y.pdf

Reference64 articles.

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2. Epilepsy: World Health Organization. (2022). https://www.who.int/mentalhealth/. Accessed: 2022-02-21.

3. Singh, K., & Malhotra, J. (2019). IoT and cloud computing based automatic epileptic seizure detection using HOS features based random forest classification. Journal of Ambient Intelligence and Humanized Computing. https://doi.org/10.1007/s12652-019-01613-7

4. Freestone, D. R., Karoly, P. J., & Cook, M. J. (2017). A forward-looking review of seizure prediction. Current Opinion in Neurology, 30(2), 167–173.

5. Litt, B., Esteller, R., Echauz, J., D’Alessandro, M., Shor, R., Henry, T., Pennell, P., Epstein, C., Bakay, R., Dichter, M., & Vachtsevanos, G. (2001). Epileptic seizures may begin hours in advance of clinical onset: A report of five patients. Neuron, 30(1), 51–64. https://doi.org/10.1016/S0896-6273(01)00262-8

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