Removing Oculomotor Artifacts in Human EEG during Ambiguous Image Recognition
Abstract
Introduction: Electroencephalography is an indispensable method for functional study of the human brain. However, recorded data inevitably contain technical, neurogenic and physiological noises, in particular, powerful artifacts caused by eye movement. There are many methods to remove oculomotor artifacts, but these are rarely used for practical purposes since most methods have high computational complexity combined with a large possibility of error in determining the moment when an artifact occurs. Purpose: We develop and validate a new method for the removal of oculomotor artifacts in electroencephalographic data. Results: The paper describes a new method for the removal of oculomotor artifacts in electroencephalographic data with the usage of electrooculography. The method is based on the assumption that oculography and electroencephalography signals are independent, which makes it possible to subtract the eye movement signal from the electroencephalographic data with the application of the Gram - Schmidt orthogonalization procedure. The method showed high efficacy of removing electroencephalographic artifacts caused by spontaneous eyeball movements (about 95-97% in 15 subjects). The efficacy of this method decreased when subjects were involved in visual perception of an ambiguous object (Necker cube). Practical relevance: We can recommend this method to be used in an automatic online mode for tasks not related to visual-oriented cognitive activity. The discrepancy between the signals of electroencephalography and electrooculography detected during the recognition of the Necker cube visual image may be a cognitive load indicator and can be used in brain-computer interface technology.Published
2017-10-20
How to Cite
Runnova, A., Zhuravlev, M., Sitnikova, E., Koronovskii, A., & Hramov, A. (2017). Removing Oculomotor Artifacts in Human EEG during Ambiguous Image Recognition. Information and Control Systems, (5), 105-112. https://doi.org/10.15217/issn1684-8853.2017.5.105
Issue
Section
Control in medical and biological systems