• 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