Title :
Offline decoding of upper limb muscle synergies from EEG slow cortical potentials
Author :
Beuchat, Nicolas J. ; Chavarriaga, Ricardo ; Degallier, Sarah ; Del R Millan, Jose
Author_Institution :
Center for Neuroprosthetics, Ecole Polytech. Fed. de Lausanne, Lausanne, Switzerland
Abstract :
Muscle synergies are thought to be the building blocks used by the central nervous system to control the underdetermined problem of muscles activation. Decoding these synergies from EEG could provide useful tools for BCI-controlled orthotic devices. In this paper, we assess the possibility of decoding muscle synergies from EEG slow cortical potentials in two healthy subjects and two stroke patients performing a center-out reaching task. We were able to successfully decode the extracted muscle synergies in both healthy subject and one patient.
Keywords :
electroencephalography; muscle; neurophysiology; BCI-controlled orthotic devices; EEG slow cortical potentials; central nervous system; muscle activation; offline decoding; stroke patients; upper limb muscle synergies;
Conference_Titel :
Engineering in Medicine and Biology Society (EMBC), 2013 35th Annual International Conference of the IEEE
Conference_Location :
Osaka
DOI :
10.1109/EMBC.2013.6610320