Single Trial P300 Detection Using Dimensionality Reduction and Extreme Learning Machine
Author:
Publisher
Springer Nature Switzerland
Link
https://link.springer.com/content/pdf/10.1007/978-3-031-49404-8_40
Reference17 articles.
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3. Picton, T.: The P300 wave of the human event-related potential. J. Clin. Neurophysiol. 9, 456–479 (1992). https://doi.org/10.1097/00004691-199210000-00002
4. Farukh Hashmi, M., Kene, J.D., Deepali, M.: An efficient p300 detection algorithm based on kernel principal component analysis-support vector machine. Comput. Elect. Eng. 97, 107608 (2022). ISSN 0045-7906. https://doi.org/10.1016/j.compeleceng.2021.107608
5. Díaz, C.F.B., Olaya, A.F.R.: A novel method based on regularized logistic regression and CCA for P300 detection using a reduced number of EEG trials. IEEE Lat. Am. Trans. 18(12), 2147–2154 (2020). https://doi.org/10.1109/TLA.2020.9400443
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