Machine learning method based detection and diagnosis for epilepsy in EEG signal
Author:
Publisher
Springer Science and Business Media LLC
Subject
General Computer Science
Link
https://link.springer.com/content/pdf/10.1007/s12652-020-01816-3.pdf
Reference22 articles.
1. Addeh A, Demirel H, Zarbakhsh P (2017) Early detection of breast cancer using optimized ANFIS and features selection. In: 9th international conference on computational intelligence and communication networks, Girne, pp 39–42
2. Bern-Barcelona EEG dataset. http://ntsa.upf.edu/downloads/
3. Durga Devi TJB, Subramani A, Anitha P (2020) Modified adaptive neuro fuzzy inference system based load balancing for virtual machine with security in cloud computing environment. J Ambient Intell Hum Comput 1–8
4. Emami A, Kunii N, Matsuo T, Shinozaki T, Kawai K, Takahashi H (2019) Seizure detection by convolutional neural network-based analysis of scalp electroencephalography plot images. Neuroimage Clin. 22:101684
5. Gajic D, Djurovic Z, Di Gennaro S, Gustafsson F (2014) Classification of EEG signals for detection of epileptic seizures based on wavelets and statistical pattern recognition. Biomed Eng Appl Basis Commun 26:1–45
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