Motor imagery tasks-based EEG signals classification using tunable-Q wavelet transform

Least Squares Support Vector Machine Classifiers

Johan A. K. Suykens, Joos Vandewalle · Neural Processing Letters · 1999 · 9.4K citations · Full text

Computing, Computer Science, Data Mining +6

The BCI competition III: validating alternative approaches to actual BCI problems

Benjamin Blankertz, K. Müller, Dean J. Krusienski et al. · IEEE Transactions on Neural Systems and Rehabilitation Engineering · 2006 · 919 citations · Full text

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Wavelet Transform With Tunable Q-Factor

Ivan Selesnick · IEEE Transactions on Signal Processing · 2011 · 661 citations

Engineering, Electrical Engineering, Analog Electronics +11

Boosting bit rates in noninvasive EEG single-trial classifications by feature combination and multiclass paradigms

Guido Dornhege, Benjamin Blankertz, Gabriel Curio et al. · IEEE Transactions on Biomedical Engineering · 2004 · 635 citations · Full text

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Comparison of signal decomposition methods in classification of EEG signals for motor-imagery BCI system

Jasmin Kevrić, Abdülhamit Subaşı · Biomedical Signal Processing and Control · 2016 · 429 citations

Engineering, Electrical Engineering, Neuroscience +16