Towards non-invasive Brain-Computer Interfaces for hand/arm control in users with spinal cord injury

Gernot Müller-Putz, Joana Pereira, Patrick Ofner, Andreas Schwarz, Catarina Lopes-Dias, Reinmar Kobler, Lea Hehenberger, Andreas Pinegger, Andreea Ioana Sburlea

Research output: Chapter in Book/Report/Conference proceedingConference paper


Spinal cord injury (SCI) can disrupt the
communication pathways between the brain and the rest of the
body, restricting the ability to perform volitional movements.
Neuroprostheses or robotic arms can enable individuals with SCI
to move independently, improving their quality of life. The
control of restorative or assistive devices is facilitated by brain-
computer interfaces (BCIs), which convert brain activity into
control commands.
In this paper, we summarize the recent findings of our research
towards the main aim to provide reliable and intuitive control.
We propose a framework that encompasses the detection of goal-
directed movement intention, movement classification and
decoding, error-related potentials detection and delivery of
kinesthetic feedback. Finally, we discuss future directions that
could be promising to translate the proposed framework to inviduals with SCI.
Original languageEnglish
Title of host publication2018 6th International Conference on Brain-Computer Interface (BCI)
Number of pages4
ISBN (Electronic)978-1-5386-2574-3
Publication statusPublished - 15 Jan 2018
Event6th International Winter Conference on Brain-Computer Interfaces: BCI 2018 - High1 Resort, Korea, Republic of
Duration: 15 Jan 201817 Jan 2018


Conference6th International Winter Conference on Brain-Computer Interfaces
Abbreviated titleBCI 2018
Country/TerritoryKorea, Republic of


  • brain-computer interface
  • EEG
  • spinal cord injury
  • movement decoding
  • intuitive control

Fields of Expertise

  • Human- & Biotechnology


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