Research on Error Correction Method of Blood Pressure Simulator Based on Univariate Polynomial Grey Regression
A blood pressure simulator is a device used to simulate changes in human blood pressure,widely applied in medical research,clinical experiments,and medical education.Addressing the calibration errors in blood pressure simulators,this paper proposes a grey correction model based on unary polynomial regression to improve the measurement accuracy of blood pressure simulators.A unary polynomial regression model is established by utilizing the relationship between standard values and error values.To further enhance prediction accuracy,a GM(1,1)quadratic residual correction model is adopted.Practice has proven that this model can accurately predict the magnitude of indication errors based on standard values,providing a new approach for detecting complex working conditions such as limit values.
blood pressure simulatorprecisionaccuracyregression model
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