基于一元多项式灰色回归的血压模拟器误差修正方法的研究

Research on Error Correction Method of Blood Pressure Simulator Based on Univariate Polynomial Grey Regression

血压模拟器是一种用于模拟人体血压变化的设备,广泛应用于医学研究、临床实验和医学教育等领域。本文针对血压模拟器在校准过程中产生的误差,在一元多项式回归的基础上建立一种灰色的修正模型,以提高血压模拟器测量的精确性。利用标准值和误差值之间的关系,建立一元多项式回归模型;为了提高预测的精度,采用GM(1,1)二次残差修正模型。实践证明,该模型能够根据标准值精确的预测出示值误差的大小,为极限值等复杂工况的检测提供了一种新的思路。

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.