Biomedical Engineering
Vol. 39 No. 01 (2024): Proceedings of Faculty of Technical Sciences
COMPARATIVE EVALUATION OF MODERN ALGORITHMS FOR SSVEP-based BCIs
Abstract
This paper provides an overview of the various algorithms applied to the recorded EEG signals of 11 subjects observed both together and individually, where the results were compared within 3 different types of filtering, feature extraction, and classification. The elliptic filter, periodogram, and k-NN algorithm proved to be the best, achieving accuracy of 58.47% and 90.4%, respectively for classifying into 5 classes.
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