The invention relates to the technical field of
chronic disease information
intelligent management, and discloses an AI-based multi-
disease chronic disease information
intelligent management system, and the
system comprises a video collection module which collects original frames, screens out invalid frames according to the definition, and constructs an effective sequence; the space-time registration module is used for constructing a Lagrange
view angle and removing
noise in combination with spectrum gating; the
signal decoupling module is used for separating
hemoglobin and constructing an enhanced
blood flow signal according to texture weighting; the
phase imaging module is used for calculating a
lag amount and generating a
microcirculation phase thermodynamic diagram; the standardized mapping module is used for identifying the mark points and generating a standardized
phase diagram without rigid mapping; and the
risk assessment module is used for executing historical difference, analyzing
disease course evolution, outputting risks and prompting. According to the method, the problem of detection
distortion caused by common limb tremor or inautonomous movement of the
chronic disease patient is effectively solved by constructing the Lagrange
view angle video
stream and combining the space-
time spectrum gating technology.