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Ocular Reduction in EEG Signals Based on Adaptive Filtering, Regression and Blind Source Separation

Autor
Romero, S.; Mañanas, M.A.; Barbanoj, M.
Tipus d'activitat
Article en revista
Revista
Annals of biomedical engineering
Data de publicació
2009-01
Volum
37
Número
1
Pàgina inicial
176
Pàgina final
191
DOI
https://doi.org/10.1007/s10439-008-9589-6 Obrir en finestra nova
Repositori
http://hdl.handle.net/2117/9379 Obrir en finestra nova
URL
http://www.springerlink.com/content/l664747783w84801/ Obrir en finestra nova
Resum
Quantitative electroencephalographic (EEG) analysis is very useful for diagnosing dysfunctional neural states and for evaluating drug effects on the brain, among others. However, the bidirectional contamination between electrooculographic (EOG) and cerebral activities can mislead and induce wrong conclusions from EEG recordings. Different methods for ocular reduction have been developed but only few studies have shown an objective evaluation of their performance. For this purpose, the following ...
Citació
Romero, S.; Mañanas, M.; Barbanoj, M. Ocular Reduction in EEG Signals Based on Adaptive Filtering, Regression and Blind Source Separation. "Annals of biomedical engineering", Gener 2009, vol. 37, núm. 1, p. 176-191.
Grup de recerca
BIOART - BIOsignal Analysis for Rehabilitation and Therapy
CREB - Centre de Recerca en Enginyeria Biomedica

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