The invention belongs to the field of cardiovascular diagnosis, and particularly relates to a cardiovascular diagnosis and risk
early warning system and method based on
millimeter wave radar monitoring. Synchronous non-inductive monitoring of multi-dimensional parameters such as the
body fluid retention index, the
heart rate variability, the arrhythmia and the respiratory event of the user during
night sleep is achieved. According to the
system, through an original multi-mode risk feature
incidence matrix and an
artificial intelligence time sequence model, the core pathophysiological and physiological index of
dynamic balance of
body fluid is deeply fused with other physiological signals, and a specific high-risk
coupling mode is identified; therefore, early-stage and high-specificity risk early warning of acute
myocardial infarction, ischemic cerebral apoplexy and acute
heart failure decompensation is realized; according to the invention, the problems of lack of pathophysiological depth and insufficient specificity in the existing early warning technology are solved, and a revolutionary active health
management tool is provided for cardiovascular and cerebrovascular high-
risk groups.