Identifying optimal channels and features for multi-participant motor imagery experiments across a participant’s multi-day multi-class EEG data
Author:
Funder
Selçuk University Research Foundation
Publisher
Springer Science and Business Media LLC
Subject
Cognitive Neuroscience
Link
https://link.springer.com/content/pdf/10.1007/s11571-023-09957-9.pdf
Reference40 articles.
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3. Alyasseri ZAA, Khader AT, Al-Betar MA, Abasi AK, Makhadmeh SN (2019) EEG signals denoising using optimal wavelet transform hybridized with efficient metaheuristic methods. IEEE Access 8:10584–10605. https://doi.org/10.1109/ACCESS.2019.2962658
4. Amo C, De Santiago L, Barea R, López-Dorado A, Boquete L (2017) Analysis of gamma-band activity from human EEG using empirical mode decomposition. Sensors 17(5):989. https://doi.org/10.3390/s17050989
5. Ashour AS, Guo Y, Hawas AR, Xu G (2018) Ensemble of subspace discriminant classifiers for schistosomal liver fibrosis staging in mice microscopic images. Health Inform Sci Syst 6(1):1–10. https://doi.org/10.1007/s13755-018-0059-8
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