DocumentCode :
636553
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
fYear :
2013
fDate :
3-7 July 2013
Firstpage :
3594
Lastpage :
3597
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;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Engineering in Medicine and Biology Society (EMBC), 2013 35th Annual International Conference of the IEEE
Conference_Location :
Osaka
ISSN :
1557-170X
Type :
conf
DOI :
10.1109/EMBC.2013.6610320
Filename :
6610320
Link To Document :
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