This invention discloses an intelligent state
analysis method for anesthetized patients based on physiological data, comprising the following steps: S1, organizing and annotating historical
anesthesia data to form
executable state recognition rules and establishing a standardized historical case reference
library. The beneficial effects of this invention are: by decomposing key interactive substructures such as nerve-circulation, brain-circulation, and
respiration-
perfusion from dynamic network profiles, coordinating indicators with clear
physiological significance, such as
baroreflex function index, brain
oxygen-
blood pressure coupling coefficient, and ventilation-
perfusion matching degree, are calculated; these indicators can quantify the coordination of physiological systems under
anesthesia from multiple dimensions; the
system performs multi-dimensional
similarity matching of these real-time indicators with an internalized
anesthesia state
knowledge base (containing multiple preset state
modes), realizing accurate and interpretable independent determination of the anesthesia depth state in three dimensions:
sedation, analgesia, and
muscle relaxation, overcoming the limitations of traditional single index monitoring.