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

Publikation: Beitrag in Buch/Bericht/KonferenzbandBeitrag in einem Konferenzband


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.
Titel2018 6th International Conference on Brain-Computer Interface (BCI)
ISBN (elektronisch)978-1-5386-2574-3
PublikationsstatusVeröffentlicht - 15 Jan. 2018
Veranstaltung6th International Winter Conference on Brain-Computer Interfaces: BCI 2018 - High1 Resort, Südkorea
Dauer: 15 Jan. 201817 Jan. 2018


Konferenz6th International Winter Conference on Brain-Computer Interfaces
KurztitelBCI 2018

Fields of Expertise

  • Human- & Biotechnology


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