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Subthreshold training: a novel approach to stimulus artifact cancellation in somatosensory evoked potential recordings

A new approach to stimulus artifact cancellation is introduced, which attempts to model the process of stimulus artifact generation. This is done by training an estimator with multiple exemplars of the stimulus artifact at levels below the threshold of evoked response stimulation. The performance of this new approach is compared to the segmented training approach, which has been previously demonstrated to be one of the most capable methods available. The new cancellation scheme shows distinct performance advantages over the segmented training approach.