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Brain–Computer Interfaces - Index of

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The Graz Brain-Computer Interface<br />

Gert Pfurtscheller, Clemens Brunner, Robert Leeb, Reinhold Scherer,<br />

Gernot R. Müller-Putz and Christa Neuper<br />

1 Introduction<br />

Brain-computer interface (BCI) research at the Graz University <strong>of</strong> Technology<br />

started with the classification <strong>of</strong> event-related desynchronization (ERD) [36, 38] <strong>of</strong><br />

single-trial electroencephalographic (EEG) data during actual (overt) and imagined<br />

(covert) hand movement [9, 18, 40]. At the beginning <strong>of</strong> our BCI research activities<br />

we had a cooperation with the Wadsworth Center in Albany, New York State, USA,<br />

with the common interest to control one-dimensional cursor movement on a monitor<br />

through mental activity [69]. With such a cursor control it is in principle possible<br />

to select letters <strong>of</strong> the alphabet, create words and sentences and realize a thoughtbased<br />

spelling system for patients in a complete or incomplete “locked-in” state<br />

[68]. At that time we already analyzed 64-channel EEG data from three patients<br />

who had accomplished a number <strong>of</strong> training sessions with the aim to search for<br />

optimal electrode positions and frequency components [38]. Using the distinction<br />

sensitive learning vector quantizer (DSLVQ) [54] it was found that for each subject<br />

there exist optimal electrode positions and frequency components for on-line<br />

EEG-based cursor control. This was confirmed recently by BCI studies in untrained<br />

subjects [2, 58].<br />

2 The Graz BCI<br />

The Graz BCI uses the EEG as input signal, motor imagery (MI) as mental strategy<br />

and two types <strong>of</strong> operation and data processing, respectively. In one mode <strong>of</strong><br />

operation the data processing is restricted to predefined time windows <strong>of</strong> a few seconds<br />

length following the cue stimulus (synchronous or cue-based BCI). In the other<br />

G. Pfurtscheller (B)<br />

Laboratory <strong>of</strong> Brain-Computer <strong>Interfaces</strong>, Institute for Knowledge Discovery, Graz University <strong>of</strong><br />

Technology, Krenngasse 37, 8010, Graz, Austria<br />

e-mail: pfurtscheller@tugraz.at<br />

B. Graimann et al. (eds.), Brain–Computer <strong>Interfaces</strong>, The Frontiers Collection,<br />

DOI 10.1007/978-3-642-02091-9_5, C○ Springer-Verlag Berlin Heidelberg 2010<br />

79

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