Oikonomou2016 – SSVEP MAMEM 2 dataset

A 256-channel EEG dataset from 11 healthy subjects performing a steady-state visually evoked potential (SSVEP) brain-computer interface task. Subjects focused attention on flickering visual stimuli at five different frequencies (6.66, 7.50, 8.57, 10.00, 12.00 Hz) to select commands. The dataset includes raw EEG signals sampled at 250 Hz with comprehensive annotations and was used to systematically evaluate signal processing algorithms for SSVEP-based BCIs, achieving 74.42% classification accuracy with optimized parameters.