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Brain–Computer Interfaces - Index of

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264 J. Mellinger and G. Schalk<br />

Fig. 3 The BCI2000 parameter configuration dialog. The “Storage” tab is selected and reveals the<br />

configuration details relating to data storage. Using the sliders on the right side, individual parameters<br />

can be assigned user levels so that only a subset <strong>of</strong> them will be visible at lower user levels;<br />

this is useful for clinical applications <strong>of</strong> BCI systems. “Save” and “Load” buttons provide storage<br />

and retrieval <strong>of</strong> parameters, the “Configure” buttons allow to determine a subset <strong>of</strong> parameters to<br />

store or retrieve. The “Help” button provides instant access to parameter documentation<br />

In more detail, BCI experiments based on sensorimotor rhythms are supported<br />

by two signal processing modules that extract spectral features, i.e., the<br />

ARSignalProcessing module that uses an autoregressive spectral estimator, and<br />

the FFTSignalProcessing module that uses short-term Discrete Fourier Transform<br />

(DFT) to compute an amplitude spectrum. Typically, output <strong>of</strong> these Signal<br />

Processing modules is used to control a cursor on a feedback screen; such feedback<br />

is provided by the CursorTask User Application module (Fig. 4 left).<br />

For presentation <strong>of</strong> visual or auditory stimuli, we provide a dedicated User<br />

Application module. In conjunction with a corresponding Signal Processing module<br />

that averages data across epochs, this module is used to classify evoked responses<br />

in real time. The same Signal Processing module can be used in combination with<br />

the P300 matrix speller application module (Fig. 4; right).

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