Feature Extraction and Classification of EEG Signal Using Multilayer Perceptron
Author:
Publisher
Springer Science and Business Media LLC
Subject
Electrical and Electronic Engineering
Link
https://link.springer.com/content/pdf/10.1007/s42835-023-01508-w.pdf
Reference15 articles.
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2. Baumgartner C, Koren JP, Rothmayer M (2018) Automatic computer-based detection of epileptic seizures. Front Neurol 9:639
3. Lo MT, Tsai PH, Lin PF, Lin C, Hsin YL (2018) The nonlinear and nonstationary properties in EEG signals: probing the complex fluctuations by Hilbert-Huang transform. Adv Adapt Data Anal 1(3):461–482
4. Amin HU, Malik AS, Ahmad RF, Badruddin N, Kamel N et al (2018) Feature extraction and classification for EEG signals using wavelet transform and machine learning techniques. Australas Phys Eng Sci Med 38(1):139–149
5. Ansari Asl K, Bellanger JJ (2015) Time-frequency characterization of interdependencies in no stationary signals: application to epileptic EEG. IEEE Trans Biomed Eng 52(7):1218–1226
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