Skip to content

Advertisement

  • Research Article
  • Open Access

EEG-Based Asynchronous BCI Controls Functional Electrical Stimulation in a Tetraplegic Patient

  • 1Email author,
  • 2,
  • 3 and
  • 4
EURASIP Journal on Advances in Signal Processing20052005:628453

https://doi.org/10.1155/ASP.2005.3152

  • Received: 29 January 2004
  • Published:

Abstract

The present study reports on the use of an EEG-based asynchronous (uncued, user-driven) brain-computer interface (BCI) for the control of functional electrical stimulation (FES). By the application of FES, noninvasive restoration of hand grasp function in a tetraplegic patient was achieved. The patient was able to induce bursts of beta oscillations by imagination of foot movement. These beta oscillations were recorded in a one EEG-channel configuration, bandpass filtered and squared. When this beta activity exceeded a predefined threshold, a trigger for the FES was generated. Whenever the trigger was detected, a subsequent switching of a grasp sequence composed of 4 phases occurred. The patient was able to grasp a glass with the paralyzed hand completely on his own without additional help or other technical aids.

Keywords and phrases

  • beta oscillations
  • motor imagery
  • functional electrical stimulation
  • brain-computer interface
  • spinal cord injury
  • neuroprosthesis

Authors’ Affiliations

(1)
Laboratory of Brain-Computer Interfaces, Institute of Computer Graphics and Vision, and Ludwig Boltzmann-Institute for Medical Informatics and Neuroinformatics, Graz University of Technology, Inffeldgasse 16a, Graz, 8010, Austria
(2)
Laboratory of Brain-Computer Interfaces, Institute of Computer Graphics and Vision, Graz University of Technology, Inffeldgasse 16a, Graz, 8010, Austria
(3)
Department of Traumatology, Hospital Villach, Nikolaigasse 43, Villach, 9400, Austria
(4)
Department II, Orthopedic Hospital of Heidelberg University, Schlierbacher Landstraße 200a, Heidelberg, 69118, Germany

Copyright

Advertisement