A genetic programming approach to detecting artifact-generating eye movements from EEG in the absence of electro-oculogram
Created by W.Langdon from
gp-bibliography.bib Revision:1.7970
- @InProceedings{Poli:2011:NER,
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author = "Riccardo Poli and Caterina Cinel and Luca Citi and
Mathew Salvaris",
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title = "A genetic programming approach to detecting
artifact-generating eye movements from EEG in the
absence of electro-oculogram",
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booktitle = "5th International IEEE/EMBS Conference on Neural
Engineering (NER 2011)",
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year = "2011",
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month = "27 " # apr # "-" # may # " 1",
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pages = "416--421",
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address = "Cancun, Mexico",
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size = "6 pages",
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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.",
-
keywords = "genetic algorithms, genetic programming, EEG,
artifact-generating eye movements, electrooculogram,
evolutionary program-induction technology, eye
tracking, genetic programming approach, biomechanics,
electroencephalography, eye, medical signal
processing",
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DOI = "doi:10.1109/NER.2011.5910575",
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ISSN = "1948-3546",
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notes = "Also known as \cite{5910575}",
- }
Genetic Programming entries for
Riccardo Poli
Caterina Cinel
Luca Citi
Mathew Salvaris
Citations