Abstract：Pulse wave is reported to have a correlation with blood pressure and character parameters of pulse wave, which can
predict blood pressure indirectly. A new predictive model was proposed in this paper for continuous monitoring of noninvasive blood
pressure. This study aimed to extract 14 parameters from the pulse wave signal in order to establish the multivariate linear model.
The improved stepwise regression analysis algorithm was used to estimate the blood pressure in real time, and the data of six patients
in the MIMIC database was used to validate the dynamic model. The experimental results indicated that the mean and variance of
deviation of blood pressure estimation met the American Medical Device AAMI standard (5±8 mmHg), and the predicted blood
pressure was significantly correlated with the extracted blood pressure values. The results show that the dynamic model established
by 14 parameters of pulse wave can be used to predict continuous blood pressure with high accuracy.
谢寒霜，王瑞平，王艳洁，刘于豪. 基于脉搏波特征参数的无创连续血压监测[J]. 中国医疗设备, 2017, 32(10): 39-43.
XIE Hanshuang, WANG Ruiping, WANG Yanjie, LIU Yuhao. Measurement of Non-Invasive Blood Pressure Continuously Based on Pulse Wave. China Medical Devices, 2017, 32(10): 39-43.
