A method of monitoring an anesthesia and consciousness depth through brain network analysis by a computing device according to the present disclosure includes: acquiring a user's brain signals extracted during anesthesia; performing pre-treatment to the acquired brain signals to be suitable for brain network analysis; calculating a functional connectivity value between two channels for each frequency based on the pre-treated brain signals and performing brain network analysis; determining an anesthesia and consciousness depth of the user based on features of the analyzed brain network; and providing the determined anesthesia and consciousness depth of the user through a user interface.
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