EEG-based asynchronous BCI controls functional electrical stimulation in a tetraplegic patient

Authors:
Gert Pfurtscheller;Gernot R. Müller-Putz;Jörg Pfurtscheller;Rüdiger Rupp
Affiliations:
Laboratory of Brain-Computer Interfaces, Institute of Computer Graphics and Vision, and Ludwig Boltzmann-Institute for Medical Informatics and Neuroinformatics, Graz University of Technology, Inff ...;Laboratory of Brain-Computer Interfaces, Institute of Computer Graphics and Vision, Graz University of Technology, Inffeldgasse, Graz, Austria;Department of Traumatology, Hospital Villach, Nikolaigasse, Villach, Austria;Department II, Orthopedic Hospital of Heidelberg University, Schlierbacher Landstraße, Heidelberg, Germany
Venue:
EURASIP Journal on Applied Signal Processing
Year:
2005

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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.