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Open Access

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

  • Gert Pfurtscheller1Email author,
  • Gernot R. Müller-Putz2,
  • Jörg Pfurtscheller3 and
  • Rüdiger Rupp4
EURASIP Journal on Advances in Signal Processing20052005:628453

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

Received: 29 January 2004

Published: 17 November 2005

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 oscillationsmotor imageryfunctional electrical stimulationbrain-computer interfacespinal cord injuryneuroprosthesis

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, Graz, Austria
(2)
Laboratory of Brain-Computer Interfaces, Institute of Computer Graphics and Vision, Graz University of Technology, Graz, Austria
(3)
Department of Traumatology, Hospital Villach, Villach, Austria
(4)
Department II, Orthopedic Hospital of Heidelberg University, Heidelberg, Germany

Copyright

© Pfurtscheller et al. 2005

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