Method and system of monitoring anesthesia depth

A system for anesthesia depth monitoring, comprising:

• monitoring apparatus configured to provide EEG data of a subject;
• and
• a computing device comprising processing circuitry configured to:
• obtain baseline EEG data of the subject from the monitoring apparatus prior to sedation and time-series EEG data of the subject after initiation of sedation;
• generate profiles segmented from the time-series EEG data, the profiles corresponding to an identified loss of consciousness (LOC) of the subject and a plurality of sedation levels of the subject before and after the LOC, where the plurality of sedation levels comprise a target sedation level for the subject;
• train an artificial intelligence (AI) sedation model associated with the subject using the generated profiles, the AI sedation model trained to determine a sedation level of the subject based upon a profile segmented from the time-series EEG data of the subject;
• determine a current sedation level of the subject based upon a current profile segmented from the time-series EEG data of the subject;
• and
• provide an indication of a comparison of the current sedation level with the target sedation level.