Classification of motor imagery EEG signals using SVM, k-NN and ANN

The non-invasive Berlin Brain–Computer Interface: Fast acquisition of effective performance in untrained subjects

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Engineering, Bioengineering, Neuroscience +16

Clinical Applications of Brain-Computer Interfaces: Current State and Future Prospects

Joseph N. Mak, Jonathan R. Wolpaw · IEEE Reviews in Biomedical Engineering · 2009 · 499 citations · Full text

Engineering, Biomedical Engineering, Neuroscience +17

A Note on Distance-Weighted k-Nearest Neighbor Rules

IEEE Transactions on Systems Man and Cybernetics · 1978 · 230 citations

Computing, Computer Science, Mathematics +10

The Berlin Brain-Computer Interface (BBCI) – towards a new communication channel for online control in gaming applications

Roman Krepki, Benjamin Blankertz, Gabriel Curio et al. · Multimedia Tools and Applications · 2007 · 207 citations

Engineering, Computer Science, Neuroscience +17

Brain–Computer Interface Design for Asynchronous Control Applications: Improvements to the LF-ASD Asynchronous Brain Switch

Jaimie Borisoff, S.G. Mason, Ali Bashashati et al. · IEEE Transactions on Biomedical Engineering · 2004 · 161 citations

Engineering, Biomedical Engineering, Neuroscience +17