This invention relates to the fields of digital healthcare and sleep health management technology, and particularly to an
insomnia screening and
dynamic management system and method. The
system includes modules for
data acquisition,
verification, feature calculation, and strategy generation. The
data acquisition module simultaneously acquires subjective, objective, and
environmental data streams; the
data verification module calculates confidence levels using the
coupling characteristics of temperature and
heart rate, identifies non-physiological interferences to clean the data; the feature calculation module calculates a sleep
perception deviation index to quantify subjective and objective differences, constructs a cumulative sleep pressure model, and integrates body temperature and
heart rate characteristics to locate individual biological time; the strategy generation module distinguishes between contradictory and physiological
insomnia based on the deviation index to select intervention paths, and remaps the treatment recommendation time to an
execution time adapted to the individual's
circadian rhythm. This invention utilizes
signal coupling verification to ensure
data quality, accurately classifies
insomnia through the
perception deviation index, and achieves dynamic intervention adapted to the individual's
circadian rhythm based on biological time mapping.