Table 2.

The teams of the 2016 Cybathlon Competition and the software they used.

Team name	Filtering	Imagery used for commands	Feature extraction and classification
Brain Tweakers	Bandpass, notch, spatial	Hands, feet, hands+feet	Power spectral density, feature selection with canonical variate analysis, classification using bayesian maximum a posteriori probability equivalent to qda
BrainGain	Detrend, common average reference, spatial whitening, bandpass	Left hand, foot, tongue	Power spectral density, regularized logistic regression
BrainStormers	Bandpass, spatial	Left hand, foot, word concatenation, auditory	Common spatial patterns, power spectral density, classifier ensemble
Athena-Minerva	Bandpass, spatial	Hand, word association, mental arithmetic	Power spectral density, multiple binary classifiers
NeuroCONCISE	Neural-time-series-prediction-preprocessing, subject-specific bandpass, common spatial patterns	Left hand, right hand, feet	Log variance of filtered signals, linear discriminant analysis and multiple binary classifiers, postprocessing of classifier output
Ebrainers	Bandpass, spatial and temporal filtering	Hand, feet, mental arithmetic	Power spectral density, phase locking index, complex covariance patterns
Mirage91	Bandpass	Hand, feet, mental arithmetic, auditory	Common spatial patterns + slda, adaptive classifier
Ecole Supérieure de Lyon	Spatial, independent component analysis	Left hand, right hand, tongue	Power spectral density, common spatial patterns, support vector machine

Reported only for teams that agreed to make this information public. All teams used imagery (motor or otherwise) to generate BCI commands.