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    • Auto-Mutual Information Function for Predicting Pain Responses in EEG Signals during Sedation 

      Melia, Umberto; Vallverdú, Montserrat; Jospin, M.; Jensen, E. W.; Valencia, J. F.; Clarià Sancho, Francisco; Gambus, P. L.; Caminal Magrans, Pere (Springer, 2014-01)
      The level of sedation in patients undergoing medical procedures evolves continuously, such as the effect of the anesthetic and analgesic agents is counteracted by pain stimuli. The monitors of depth of anesthesia, based ...