Cutting-edge algorithm improves intracranial EEG accuracy to improve future patient care

Published in the Journal of Neural Engineering, a research team led by the University of Minnesota Medical School evaluated the reliability of human experts in comparison to an automated algorithm in assessing the quality of intracranial electroencephalography (iEEG) data. This research hopes to…

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