Motor imagery classification of upper limb movements based on spectral domain features of EEG patterns
Surface electromyography pattern recognition methods have been widely applied to decode
limb movement intentions for prosthesis control. These methods generally require amputees …
limb movement intentions for prosthesis control. These methods generally require amputees …
Motor imagery classification of upper limb movements based on spectral domain features of EEG patterns.
OW Samuel, X Li, Y Geng, P Feng… - … Conference of the IEEE …, 2017 - europepmc.org
Surface electromyography pattern recognition methods have been widely applied to decode
limb movement intentions for prosthesis control. These methods generally require amputees …
limb movement intentions for prosthesis control. These methods generally require amputees …
[PDF][PDF] Motor Imagery Classification of Upper Limb Movements Based on Spectral Domain Features of EEG Patterns
OW Samuel, X Li, Y Geng, P Feng, S Chen, G Li - researchgate.net
Surface electromyography pattern recognition methods have been widely applied to decode
limb movement intentions for prosthesis control. These methods generally require amputees …
limb movement intentions for prosthesis control. These methods generally require amputees …
Motor imagery classification of upper limb movements based on spectral domain features of EEG patterns
OW Samuel, X Li, Y Geng, P Feng… - … Conference of the …, 2017 - pubmed.ncbi.nlm.nih.gov
Surface electromyography pattern recognition methods have been widely applied to decode
limb movement intentions for prosthesis control. These methods generally require amputees …
limb movement intentions for prosthesis control. These methods generally require amputees …