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For decades, it has been reportedthat theelectroencephalogram (EEG) isa positive indicator of mental workload. However, EEG signals are easily affected by artifacts.Anartifact 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 onlydata contaminated by artifacts and discards the artifact free data.This was doneto solve a problem associated with data collection.Specifically, in an experiment, EEGelectrodeleadsforT3 and Fzwere swapped where they were connected to the signal acquisition hardware. To facilitate analysis of the data, it was essential to determine whenthe swap occurred. This was accomplished using only EEG data that were contaminated by blinks. Power associated with a blinkis lower at site T3 than Fz. The artifact separation technique supported this investigation to determine when the swap occurred.