The invention relates to the technical field of medical
signal processing, in particular to a brain
oxygen entropy-based dynamic
blood flow simulation system which comprises a
data acquisition module, a structure modeling module, a state monitoring module, a
simulation calculation module and an anomaly prediction module. According to the method, through synchronous utilization of brain
oxygen saturation and
blood flow velocity signals, accurate capture of brain
oxygen supply and
blood flow dynamic dynamic correlation is achieved, sensitivity of abnormal fluctuation recognition is enhanced, individualization and accuracy of blood flow
simulation are improved by combining a brain
blood vessel geometric structure and
blood vessel elasticity and compliance parameters, and multi-point
dynamic coupling is utilized to achieve the purpose of improving the accuracy of blood flow simulation. According to the method, abnormal
blood supply state recognition is enhanced, brain
blood supply stability evaluation is optimized, the local blood flow micro-
dynamic feature reduction degree is improved through dynamic updating of the
inertia coefficient and the
shear stress, the oxygen entropy fluctuation, the
shear stress and the flow velocity gradient are combined, the
nonlinear coupling relation is extracted, the abnormal event prediction accuracy is improved, and the brain
blood supply stability is improved. And the early warning capability of abnormal cerebral blood supply is enhanced.