A new common spatial pattern-based unified channels algorithm for driver’s fatigue EEG signals classification
Author:
Funder
national key r &d program of china
nsfc
Publisher
Springer Science and Business Media LLC
Subject
Artificial Intelligence,Software
Link
https://link.springer.com/content/pdf/10.1007/s00521-022-07833-x.pdf
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2. Blankertz B, Muller K-R, Krusienski DJ, Schalk G, Wolpaw JR, Schlogl A, Pfurtscheller G, Millan JR, Schroder M, Birbaumer N (2006) The BCI competition iii: validating alternative approaches to actual BCI problems. IEEE Trans Neural Syst Rehabil Eng 14(2):153–159. https://doi.org/10.1109/TNSRE.2006.875642
3. Lotte F, Guan C (2010) Regularizing common spatial patterns to improve BCI designs: unified theory and new algorithms. IEEE Trans Biomed Eng 58(2):355–362. https://doi.org/10.1109/TBME.2010.2082539
4. Mishuhina V, Jiang X (2021) Complex common spatial patterns on time-frequency decomposed EEG for brain-computer interface. Pattern Recognit 115:107918. https://doi.org/10.1016/j.patcog.2021.107918
5. Ramoser H, Muller-Gerking J, Pfurtscheller G (2000) Optimal spatial filtering of single trial EEG during imagined hand movement. IEEE Trans Rehabil Eng 8(4):441–446. https://doi.org/10.1109/86.895946
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