Epilepsy Seizure Prediction from EEG Signal Using Machine Learning Techniques
Article Properties
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LanguageEnglish
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DOI (url)
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Publication Date2023/01/01
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Indian UGC (journal)
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Refrences22
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B. SIDAOUI
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K. SADOUNI
Cite
SIDAOUI, B., and K. SADOUNI. “Epilepsy Seizure Prediction from EEG Signal Using Machine Learning Techniques”. Advances in Electrical and Computer Engineering, vol. 23, no. 2, 2023, pp. 47-54, https://doi.org/10.4316/aece.2023.02006.
SIDAOUI, B., & SADOUNI, K. (2023). Epilepsy Seizure Prediction from EEG Signal Using Machine Learning Techniques. Advances in Electrical and Computer Engineering, 23(2), 47-54. https://doi.org/10.4316/aece.2023.02006
SIDAOUI B, SADOUNI K. Epilepsy Seizure Prediction from EEG Signal Using Machine Learning Techniques. Advances in Electrical and Computer Engineering. 2023;23(2):47-54.
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Refrences
| Title | Journal | Journal Categories | Citations | Publication Date |
|---|---|---|---|---|
| 10.4316/AECE.2022.01001 | 2022 | |||
| 10.1504/IJBRA.2022.126740 | 2022 | |||
Prediction of Multivariate Air Quality Time Series Data using Long Short-Term Memory Network | Malaysian Journal of Fundamental and Applied Sciences |
| 5 | 2022 |
| 10.1504/IJBRA.2021.117169 | 2021 | |||
A Deep Learning Approach for Automatic Seizure Detection in Children With Epilepsy | Frontiers in Computational Neuroscience |
| 52 | 2021 |
Refrences Analysis
The category
Medicine: Internal medicine: Neurosciences. Biological psychiatry. Neuropsychiatry 5
is the most frequently represented among the references in this article. It primarily includes studies from Computational and Mathematical Methods in Medicine and Complexity. The chart below illustrates the number of referenced publications per year.