A method of creating an anesthetic consciousness index with an artificial neural network includes, obtaining physiological signals, including electroencephalographic signals and eye movement signals, from subjects during a physiological signal monitoring process; filtering noise out of the physiological signals by empirical mode decomposition (EMD); calculating sample entropy values of the noise-removed physiological signals; obtaining sample entropy value sets of the physiological signals; repeating the aforesaid steps to effectuate measurement, noise-filtering, and sample entropy value calculation of the subjects' physiological signals and thus obtain a sample entropy value set; and applying an artificial neural network in conducting regression analysis of the sample entropy value set and a set of levels of consciousness measured with a physiological signal monitor during the physiological signal monitoring process, thereby creating the anesthetic consciousness index model for evaluating the level of consciousness of an anesthetized patient during the physiological signal monitoring process.
METHOD OF CREATING ANESTHETIC CONSCIOUSNESS INDEX WITH ARTIFICIAL NEURAL NETWORK