A CNN-LSTM hybrid network for automatic seizure detection in EEG signals
Author:
Publisher
Springer Science and Business Media LLC
Subject
Artificial Intelligence,Software
Link
https://link.springer.com/content/pdf/10.1007/s00521-023-08832-2.pdf
Reference51 articles.
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2. Acharya UR, Sree SV, Swapna G, Martis RJ, Suri JS (2013) Automated EEG analysis of epilepsy: a review. Knowl.-Based Syst 45:147–165. https://doi.org/10.1016/j.knosys.2013.02.014.
3. Acharya UR, Fujita H, Sudarshan VK, Bhat S, Koh JE (2015) Application of entropies for automated diagnosis of epilepsy using EEG signals: A review. Knowl-BasedSyst 88:85–96. https://doi.org/10.1016/j.knosys.2015.08.004
4. Forooghifar F, Aminifar A, Alonso DA (2018) Self-aware wearable systems in epileptic seizure detection. In: 2018 21st Euromicro conference on digital system design (DSD), pp 426–43. https://doi.org/10.1109/DSD.2018.00078.
5. Subouchi Y, Tanabe A, Saito Y, Noma H, Maegaki Y (2019) Long-term prognosis of epilepsy in patients with cerebral palsy. Dev Med Child Neurol 61:1067–1073. https://doi.org/10.1111/dmcn.14188
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