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

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Author(s): Pfurtscheller Gert | Müller-Putz Gernot R | Pfurtscheller Jörg | Rupp Rüdiger

Journal: EURASIP Journal on Advances in Signal Processing
ISSN 1687-6172

Volume: 2005;
Issue: 19;
Start page: 628453;
Date: 2005;
Original page

Keywords: beta oscillations | motor imagery | functional electrical stimulation | brain-computer interface | spinal cord injury | neuroprosthesis

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.
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