BCI based on pedal end-effector triggered through pedaling imagery to promote excitability over the feet motor area

Autor: Cardoso, Vivianne Flávia, Delisle-Rodriguez, Denis, Romero-Laiseca, Maria Alejandra, Loterio, Flávia A., Gurve, Dharmendra, Floriano, Alan, Krishnan, Sridhar, Frizera-Neto, Anselmo, Filho, Teodiano Freire Bastos
Zdroj: Research on Biomedical Engineering; June 2022, Vol. 38 Issue: 2 p439-449, 11p
Abstrakt: Purpose: 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. Methods: 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. Significant event-related desynchronization (ERD) patterns focused around the foot motor area (Cz location) were obtained for low (13–22 Hz) and high (23–35 Hz) beta bands, during both imaginary and real motor tasks. Results: As a result, ERD power decreasing was more emphasized at the instant that participants successfully triggered the BCI through MI and received as feedback passive movements. Also, we found on Cz a correlated cortical activity into the frequency domain, comparing periods of MI and passive movements. Conclusion: The findings suggest that low-cost BCIs based on pedal end-effector for lower-limb rehabilitation may be suitable to promote activations over the human primary motor cortex.
Databáze: Supplemental Index