A 1-D CNN-FCM model for the classification of epileptic seizure disorders
Author:
Publisher
Springer Science and Business Media LLC
Subject
Artificial Intelligence,Software
Link
https://link.springer.com/content/pdf/10.1007/s00521-023-08665-z.pdf
Reference38 articles.
1. Iasemidis LD (2003) Epileptic seizure prediction and control. IEEE Trans Biomed Eng 50(5):549–558
2. Adeli H, Ghosh-Dastidar S, Dadmehr N (2007) A wavelet-chaos methodology for analysis of EEGs and EEG subbands to detect seizure and epilepsy. IEEE Trans Biomed Eng 54(2):205–211
3. Lu Y, Worrell GA, Zhang HC, Yang L, Brinkmann B, Nelson C, He B (2014) Noninvasive imaging of the high frequency brain activity in focal epilepsy patients. IEEE Trans Biomed Eng 61(6):1660–1667
4. Edelman BJ, Baxter B, He B (2015) EEG source imaging enhances the decoding of complex right-hand motor imagery tasks. IEEE Trans Biomed Eng 63(1):4–14
5. Tzallas AT, Tsipouras MG, Fotiadis DI (2009) Epileptic seizure detection in EEGs using time-frequency analysis. IEEE Trans Inf Technol Biomed 13(5):703–710
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