The performance of EEG-based Brain-Computer-Interfaces (BCIs) critically depends on the extraction of features from the EEG carrying information relevant for the classification of different mental states. For BCIs employing imaginary movements of different limbs, the method of Common Spatial Patterns (CSP) has been shown to achieve excellent classification results. The CSP-algorithm however suffers from a lack of robustness, requiring training data without artifacts for good performance. To overcome this lack of robustness, we propose an adaptive spatial filter that replaces the training data in the CSP approach by a-priori information. More specifically, we design an adaptive spatial filter that maximizes the ratio of the variance of the electric field originating in a predefined region of interest (ROI) and the overall variance of the measured EEG.

Ildar Rakhmatulin* - Ph.D. Electronic Researcher Sebastian Völkl - Brain-Computer-Interface Developer Abstract This paper presents Open-source software and a developed shield board for the Raspberry Pi family of single-board computers that can be used to read EEG signals. We have described the mechanism for reading EEG signals and decomposing them into a Fourier series and provided examples of controlling LEDs and a toy robot by blinking. Finally, we discussed the prospects of the brain-computer interface for the near future and considered various methods for controlling external mechanical objects using real-time EEG signals. License - GNU General Public License v3.0 Keywords: PIEEG, hackerbci, RaspberryPi, EEG, brain-computer interface Abbreviation BCI Brain-computer interface EEG Electroencephalogram SBC Single-board computer ADC Analog-digital converter Introduction When the term BCI is mentioned, many people immediately associate with controlling objects using the power of thought. Now, neuroscience in non-invasive EEG measurement is only getting there. Still, each step brings us closer to that goal and inspires a new generation of scientists and engineers to contribute to this field of science.