The invention discloses an electroencephalograph-based
anesthesia depth monitoring method. The electroencephalograph-based
anesthesia depth monitoring method comprises the following steps of (11) collecting electroencephalograph signals of a patient during the whole operation process for the patient needing an operation with
anesthesia, and calibrating the state of anesthesia in time intervals according to actual requirement; (12) removing artifacts and
noise in the electroencephalograph signals for the collected electroencephalograph signals; (13) calculating
frequency domain index, complexity and burst suppression index for the interference-free electroencephalograph signals obtained in the step (12); (14) according to index parameters in the step (13), dividing the signals into five types of
sobriety, light anesthesia, medium anesthesia, deep anesthesia and ultra-deep anesthesia; (15) assigning the weights of the index parameters in the step (13), integrating the indexes into Ai index, and carrying out the judgment of anesthesia depth according to the Ai index, wherein the Ai index is equal to FORMULA, and indexi is an index parameter in the step (13), and wi is the weight of the index parameter. Different weight values are given according to varied obvious degree at different periods, so that the obtained Ai value is more reasonable.