This invention discloses a hydration therapy
data processing system based on multi-parameter fusion and model optimization, belonging to the field of medical auxiliary equipment technology. The
system includes a container, a
data acquisition unit, a monitoring unit, a bioimpedance unit, and a
processing unit. The
processing unit acquires the patient's
urine output,
heart rate,
blood pressure, and bioimpedance values, and dynamically calculates the single-session
water intake adjustment value by constructing a multi-parameter fusion-based
water intake adjustment formula. The
processing unit also incorporates an optimization
algorithm, constructing an objective function including prediction errors based on
gradient descent, iteratively updating and normalizing the weight coefficients in the formula to achieve
adaptive optimization of the personalized hydration plan. This
system overcomes the limitations of fixed hydration plans, effectively reducing the cardiac load risk for special patients and precisely intervening in the
water intake rate, significantly improving treatment safety.