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

Poli, R and Cinel, C and Citi, L and Salvaris, M (2011) A genetic programming approach to detecting artifact-generating eye movements from EEG in the absence of electro-oculogram. In: UNSPECIFIED, ? - ?.

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Abstract

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. © 2011 IEEE.

Item Type: Conference or Workshop Item (Paper)
Additional Information: Published proceedings: 2011 5th International IEEE/EMBS Conference on Neural Engineering, NER 2011
Subjects: Q Science > QA Mathematics > QA75 Electronic computers. Computer science
R Medicine > RC Internal medicine > RC0321 Neuroscience. Biological psychiatry. Neuropsychiatry
Divisions: Faculty of Science and Health > Computer Science and Electronic Engineering, School of
Depositing User: Jim Jamieson
Date Deposited: 04 Mar 2014 15:20
Last Modified: 05 Feb 2019 17:15
URI: http://repository.essex.ac.uk/id/eprint/8819

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