An efficient epileptic seizure detection by classifying focal and non-focal EEG signals using optimized deep dual adaptive CNN-HMM classifier
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Publisher
Springer Science and Business Media LLC
Link
https://link.springer.com/content/pdf/10.1007/s11042-024-18560-x.pdf
Reference54 articles.
1. Rahman MM, Bhuiyan MIH, Das AB (2019) Classification of focal and non-focal EEG signals in VMD-DWT domain using ensemble stacking. Biomed Signal Process Control 50:72–82
2. Fraiwan L, Alkhodari M (2020) Classification of focal and non-focal epileptic patients using single channel EEG and long short-term memory learning system. IEEE Access 8:77255–77262
3. Epilepsy, key facts (2020) https://www.who.int/health-topics/epilepsy#tab=tab1. Accessed Oct 2022
4. Yuan Y, Xun G, Jia K, Zhang A (2019) A multi-view deep learning framework for EEG seizure detection. IEEE J Biomed Health Inform 23(1):83–94
5. Ahmedt-Aristizabal D, Fookes C, Denman S, Nguyen K, Sridharan S, Dionisio S (2019) Aberrant epileptic seizure identification: a computer vision perspective. Seizure 65, 65 – 71. [Online]. Available: http://www.sciencedirect.com/science/article/pii/S1059131118307076. Accessed Oct 2022
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