A genetic programming approach to detecting artifact-generating eye movements from EEG in the absence of electro-oculogram

In this paper we use genetic programming - an evolutionary program-induction technology - to evolve algorithms that accurately approximate the behaviour of two standard detectors of ocular movement based on Electro-oculogram (EOG). The prediction is based entirely on EEG signals, i.e., without using EOG, making it possible to detect eye movements even in data recorded without EOG or eye tracking. Experimental results with this approach are very encouraging.