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A comparative study of automatic techniques for ocular artifact reduction in spontaneous EEG signals based on clinical target variables: A simulation case

Romero, Sergio ; Mañanas, Miguel A ; Barbanoj, Manel J

Computers in biology and medicine, 2008-03, Vol.38 (3), p.348-360 [Periódico revisado por pares]

United States: Elsevier Ltd

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Título:
A comparative study of automatic techniques for ocular artifact reduction in spontaneous EEG signals based on clinical target variables: A simulation case
Autor: Romero, Sergio ; Mañanas, Miguel A ; Barbanoj, Manel J
Assuntos: Adult ; Algorithms ; Aparells i instruments ; Blind source separation (BSS) ; Brain - physiology ; Ciències de la salut ; Ciències de la visió ; Computer Simulation ; Electroencephalography (EEG) ; Electroencephalography - methods ; Electrooculography ; Electrooculography (EOG) ; Electrophysiology ; Eye ; Eye Movements - physiology ; Female ; Humans ; Independent component analysis (ICA) ; Internal Medicine ; Male ; Movements ; Ocular filtering ; Oftalmologia ; Optics ; Other ; Principal Component Analysis ; Principal component analysis (PCA) ; Regression Analysis ; Reproducibility of Results ; Signal Processing, Computer-Assisted ; Àrees temàtiques de la UPC
É parte de: Computers in biology and medicine, 2008-03, Vol.38 (3), p.348-360
Notas: ObjectType-Article-1
SourceType-Scholarly Journals-1
ObjectType-Feature-2
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Descrição: Abstract Eye movement artifacts represent a critical issue for quantitative electroencephalography (EEG) analysis and a number of mathematical approaches have been proposed to reduce their contribution in EEG recordings. The aim of this paper was to objectively and quantitatively evaluate the performance of ocular filtering methods with respect to spectral target variables widely used in clinical and functional EEG studies. In particular the following methods were applied: regression analysis and some blind source separation (BSS) techniques based on second-order statistics (PCA, AMUSE and SOBI) and on higher-order statistics (JADE, INFOMAX and FASTICA). Considering blind source decomposition methods, a completely automatic procedure of BSS based on logical rules related to spectral and topographical information was proposed in order to identify the components related to ocular interference. The automatic procedure was applied in different montages of simulated EEG and electrooculography (EOG) recordings: a full montage with 19 EEG and 2 EOG channels, a reduced one with only 6 EEG leads and a third one where EOG channels were not available. Time and frequency results in all of them indicated that AMUSE and SOBI algorithms preserved and recovered more brain activity than the other methods mainly at anterior regions. In the case of full montage: (i) errors were lower than 5% for all spectral variables at anterior sites; and (ii) the highest improvement in the signal-to-artifact (SAR) ratio was obtained up to 40 dB at these anterior sites. Finally, we concluded that second-order BSS-based algorithms (AMUSE and SOBI) provided an effective technique for eye movement removal even when EOG recordings were not available or when data length was short.
Editor: United States: Elsevier Ltd
Idioma: Inglês

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A comparative study of automatic techniques for ocular artifact reduction in spontaneous EEG signals based on clinical target variables: A simulation case

Romero, Sergio ; Mañanas, Miguel A ; Barbanoj, Manel J

United States: Elsevier Ltd

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