A novel SVMA and K-NN classifier based optical ML technique for seizure detection-Reference-Cited by-同舟云学术

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A novel SVMA and K-NN classifier based optical ML technique for seizure detection

Published:2023-09-27 Issue:12 Volume:55 Page:
ISSN:0306-8919
Container-title:Optical and Quantum Electronics
language:en
Short-container-title:Opt Quant Electron

Author:

Deepa N.,Naresh R.,Anitha S.,Suguna R.,Vinoth Kumar C. N. S.

Publisher

Springer Science and Business Media LLC

Subject

Electrical and Electronic Engineering,Atomic and Molecular Physics, and Optics,Electronic, Optical and Magnetic Materials

Link

https://link.springer.com/content/pdf/10.1007/s11082-023-05406-3.pdf

Reference55 articles.

1. Abdulrahman, S.A.: Comparison between alcoholic and control subjects in EEG signals using classification methods. J. Mech. Contin. Math. Sci. (2019). https://doi.org/10.26782/jmcms.2019.08.00008

2. Adeli, H., Zhou, Z., Dadmehr, N.: Analysis of EEG records in an epileptic patient using wavelet transform. J. Neurosci. Methods 123(1), 69–87 (2003). https://doi.org/10.1016/s0165-0270(02)00340-0

3. Aldana, Y.R., Hunyadi, B., Reyes, E.J.M., Rodriguez, V.R., Van Huffel, S.: Nonconvulsive epileptic seizure detection in scalp EEG using multiway data analysis. IEEE J. Biomed. Health Inform. 23(2), 660–671 (2019). https://doi.org/10.1109/jbhi.2018.2829877

4. Azmy, M.M.: Recognition of epileptic seizure in EEG signals using wavelet transform based on deep learning. SSRN Electron. J. (2022). https://doi.org/10.2139/ssrn.4084332

5. Baghersalimi, S., Teijeiro, T., Atienza, D., Aminifar, A.: Personalized real-time federated learning for epileptic seizure detection. IEEE J. Biomed. Health Inform. 26(2), 898–909 (2022). https://doi.org/10.1109/jbhi.2021.3096127

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