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High-throughput ocular artifact reduction in multichannel electroencephalography (EEG) using component subspace projection.

Abstract：

:After a review of the ocular artifact reduction literature, a high-throughput method designed to reduce the ocular artifacts in multichannel continuous EEG recordings acquired at clinical EEG laboratories worldwide is proposed. The proposed method belongs to the category of component-based methods, and does not rely on any electrooculography (EOG) signals. Based on a concept that all ocular artifact components exist in a signal component subspace, the method can uniformly handle all types of ocular artifacts, including eye-blinks, saccades, and other eye movements, by automatically identifying ocular components from decomposed signal components. This study also proposes an improved strategy to objectively and quantitatively evaluate artifact reduction methods. The evaluation strategy uses real EEG signals to synthesize realistic simulated datasets with different amounts of ocular artifacts. The simulated datasets enable us to objectively demonstrate that the proposed method outperforms some existing methods when no high-quality EOG signals are available. Moreover, the results of the simulated datasets improve our understanding of the involved signal decomposition algorithms, and provide us with insights into the inconsistency regarding the performance of different methods in the literature. The proposed method was also applied to two independent clinical EEG datasets involving 28 volunteers and over 1000 EEG recordings. This effort further confirms that the proposed method can effectively reduce ocular artifacts in large clinical EEG datasets in a high-throughput fashion.

journal_name

J Neurosci Methods

journal_title

Journal of neuroscience methods

authors

Ma J,Bayram S,Tao P,Svetnik V

doi

10.1016/j.jneumeth.2011.01.007

subject

Has Abstract

pub_date

2011-03-15 00:00:00

pages

131-40

issue

1

eissn

0165-0270

issn

1872-678X

pii

S0165-0270(11)00012-4

journal_volume

196

pub_type

杂志文章

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