Motor Activity

Integrating EEG and MEG Signals to Improve Motor Imagery Classification in Brain-Computer Interface

We adopted a fusion approach that combines features from simultaneously recorded electroencephalogram (EEG) and magnetoencephalogram (MEG) signals to improve classification performances in motor imagery-based brain-computer interfaces (BCIs). We …