An EEG Data Investigation Using Only Artifacts

For decades, it has been reported that the electroencephalogram (EEG) is a positive indicator of mental workload. However, EEG signals are easily affected by artifacts. An artifact mediation approach, called artifact separation, was developed to enable the consumer of the EEG data to decide how to handle artifacts. The current investigation uses only data contaminated by artifacts and discards the artifact free data. This was done to solve a problem associated with data collection. Specifically, in an experiment, EEG electrode leads for T3 and Fz were swapped where they were connected to the signal acquisition hardware. To facilitate analysis of the data, it was essential to determine when the swap occurred. This was accomplished using only EEG data that were contaminated by blinks. Power associated with a blink is lower at site T3 than Fz. The artifact separation technique supported this investigation to determine when the swap occurred.

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