The present application relates to the technical field of
body position management, in particular to an
aorta postoperative patient
body position intelligent management pad
system based on hemodynamic parameters, which introduces classification and regression tree to organize
mean arterial pressure interval, systolic pressure interval,
blood pressure change rate sign, exponential weighted deviation interval, cumulative deviation state, uncertainty level and
body position maintenance time interval into ordered conditional branches, explicitly injects safety priority logic into body position sorting process, makes high-risk signals obtain higher weight proportion in decision chain, maps body position enumeration into discrete state by limited state
machine and introduces interval member guard count and locking time, so that body position switching is no longer instantaneous judgment but triggered after continuous condition satisfaction, and the overall process forms a continuous traceable
closed loop under the multi-layer superposition of rule chain, cost weight, state transition and path constraint, the body position execution process remains stability in
blood flow fluctuation stage, and
nursing operation consistency and
controllability are significantly improved.