The proposed algorithms are evaluated using simulations and BCI data of 16 healthy participants performing motor imagery under 6 different types of distraction.

The proposed algorithms are evaluated using simulations and BCI data of 16 healthy participants performing motor imagery under 6 different types of distraction.

Common Spatial Patterns (CSP) is a popular method to optimally separate data from two motor imagery tasks under the assumption of an unimodal class distribution ...

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Sep 19, 2024 · Recently, we proposed a multimodal BCI combining EEG and fTCD modalities as a faster and more efficient alternative to EEG-fNIRS BCIs (29–33).

Overall classification averaged across all participants reached an accuracy of 61.81%. Classification results of CSP vs. Laplacian filters are plotted in Figure ...

Oct 7, 2020 · This study provides a large intuitive dataset for 11 different upper extremity movement tasks obtained during multiple recording sessions.

May 11, 2024 · Common Spatial Pattern (CSP) is a powerful technique for MI task discrimination that was first introduced in 1990 to extract special features ...

Mar 13, 2020 · This work proposes two approaches - use of somatosensory cues, and the enforcement of a protocol in which motor imagery of a specific limb is ...

Nov 18, 2020 · “Alternative CSP approaches for multimodal distributed BCI data,” in 2016 IEEE International Conference on Systems, Man, and Cybernetics ...