A Survey on Feature Selection, Classification, and Optimization Techniques for EEG-Based Brain–Computer Interface
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Publisher
Springer Nature Singapore
Link
https://link.springer.com/content/pdf/10.1007/978-981-99-9043-6_7
Reference33 articles.
1. Adair J, Brownlee AE, Ochoa G (2018) Mutual information iterated local search: a wrapper-filter hybrid for feature selection in brain-computer interfaces. In: International conference on the applications of evolutionary computation. Springer, Cham, pp 63–77
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3. Bhuvaneshwari M, Kanaga EGM, Anitha J (2023) Bio-inspired Red Fox-Sine cosine optimization for the feature selection of SSVEP-based EEG signals for BCI applications. Biomed Sig Process Control 80:104245
4. Chen S, Luo Z, Gan H (2018) An entropy fusion method for feature extraction of EEG. Neural Comput Appl [Internet] 29(10):857–63. Available from: https://doi.org/10.1007/s00521-016-2594-z
5. Echtioui A, Zouch W, Ghorbel M, Mhiri C, Hamam H (2023) Classification of BCI multiclass motor imagery task based on artificial neural network. Clin EEG Neurosci. 15500594221148285
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