AHW-BGOA-DNN: a novel deep learning model for epileptic seizure detection
Author:
Funder
IBM Shared University Research Grant
Publisher
Springer Science and Business Media LLC
Subject
Artificial Intelligence,Software
Link
https://link.springer.com/content/pdf/10.1007/s00521-020-05384-7.pdf
Reference94 articles.
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2. WHO (2018) WHO report. http://www.who.int/mediacentre/factsheets/fs999/en/#
3. Sharma M, Dhere A, Pachori RB, Acharya UR (2017) An automatic detection of focal EEG signals using new class of time–frequency localized orthogonal wavelet filter banks. Knowl Based Syst 118:217–227. https://doi.org/10.1016/j.knosys.2016.11.024
4. Wang Z, Guo L, Adjouadi M (2016) Wavelet decomposition and phase encoding of temporal signals using spiking neurons. Neurocomputing 173:1203–1210. https://doi.org/10.1016/j.neucom.2015.08.078
5. Nigam VP, Graupe D (2004) A neural-network-based detection of epilepsy. Neurol Res 26:55–60. https://doi.org/10.1179/016164104773026534
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