Joint Time-Frequency-Space Classification of EEG in a Brain-Computer Interface Application
Brain-computer interface is a growing field of interest in human-computer interaction with diverse applications ranging from medicine to entertainment.In this paper, we present a system which allows for classification of mental tasks based on a joint time-frequency-space decorrelation, in which mental tasks are measured via electroencephalogram (EE