Abstract
We dealt with the problem of artifacts in EEG signals in relation to the usage of lengthy trials. Specifically, we considered eye artifacts found in EEG signals, their influence in the analysis of the data and alternatives to diminish their impact on later studies of brain activity on lengthy tasks. We proposed a scheme of partial rejection of independent signal components, provided a method to extract EEG signal components with diminished influence of eye artifacts, and assess the importance of using artifact free signal excerpts to extract signal components in order to analyze brain activity in a musical context.
Highlights
Artifacts like saccades, eye blinks, muscle noise, heart signals, or even line noise are present in most electroencephalography (EEG) recordings
The manuscript is focused on eye artifacts, the ideas on the reduction of the effect of artifacts can be applied to other types of interfering signals
This paper presented a study on the importance of specific artifact preprocessing schemes for EEG analyzes when trials cannot be discarded
Summary
Eye blinks, muscle noise, heart signals, or even line noise are present in most electroencephalography (EEG) recordings. They produce voltage fluctuations that are registered by the electrodes placed in the scalp and contaminate the brain signals measured by EEG. The identification, cancellation, or correction of such artifacts is often required. Most of the artifacts coming from the contraction of muscles contain frequencies above 100 Hz and because of this, electromyographic (EMG) activity can be eliminated by suppressing frequencies above 100 Hz [1]. For other complex artifacts like eye blinks or eye movements, artifact rejection or correction methods are required to diminish their influence on the EEG signals [3]
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