• DocumentCode
    718224
  • Title

    Achievements and challenges of translational research in non-invasive SMR-BCI-controlled upper extremity neuroprosthesis in spinal cord injury

  • Author

    Muller-Putz, Gernot R. ; Rupp, Rudiger

  • Author_Institution
    BCILab, Graz Univ. of Technol., Graz, Austria
  • fYear
    2015
  • fDate
    22-24 April 2015
  • Firstpage
    158
  • Lastpage
    161
  • Abstract
    An injury of the upper cervical spinal cord and the associated paralysis of the lower and upper extremities is one of the most dramatic events that can happen in a life of a human being. If the hand function is complete lost, neuroprostheses on the basis of functional electrical stimulation (FES) represent the only possibility for restoration of basic grasp patterns. Non-invasive electroencephalogram (EEG)-based Brain Computer Interfaces (BCIs) are an emerging technology that may provide the possibility for intuitive operation of a multi-degree of freedom upper extremity neuroprosthesis. Although evidence from studies with able-bodied subjects and a few end users with SCI is available about the basic feasibility of BCI-controlled grasping and reaching neuroprostheses, it is still unknown, in how far these results can be generalized. The aim of this paper is to provide an overview of the achievements in translation of basic research results to real-world application in people with high cervical SCI and to outline future challenges.
  • Keywords
    bioelectric potentials; brain-computer interfaces; electroencephalography; injuries; medical signal processing; neurophysiology; prosthetics; cervical spinal cord injury; functional electrical stimulation; high cervical SCI; multidegree of freedom; noninvasive SMR-BCI-controlled upper extremity neuroprosthesis; noninvasive electroencephalogram SMR-BCI-controlled hand function; noninvasive electroencephalogram-based brain computer interfaces; paralysis; Brain-computer interfaces; Decoding; Elbow; Electroencephalography; Grasping; Spinal cord injury;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Neural Engineering (NER), 2015 7th International IEEE/EMBS Conference on
  • Conference_Location
    Montpellier
  • Type

    conf

  • DOI
    10.1109/NER.2015.7146584
  • Filename
    7146584