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According to the World Health Organization, stroke is the main cause of motor disability worldwide. After a stroke, many patients become dependent on other people to carry out activities of daily living. Thus, new rehabilitation technologies, such as brain-computer interfaces (BCIs), have been proposed to help or induce the reorganization of neural circuits. Furthermore, pedaling exercises have great potential for lower-limb recovery. This study analyzes through the electroencephalogram (EEG) of eight healthy subjects and two post-stroke patients, the cortical effect produced while each one commands through pedaling motor imagery (MI), a BCI to receive passive pedaling as feedback.

EEG data were band-pass filtered, removing artifacts by applying Artifact Subspace Reconstruction-based Riemannian geometry, and after analyzed into the time-frequency representation and frequency domain …