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Title:: The improved algorithm of noninvasive blood pressure measurement based on characteristic parameters of pulse wave

Author(s):: QU Shihua; WU Huawei; QIAN Zhiyu; LI Weitao; College of Automation Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing 211100, China

Keywords:: Pulse wave; Blood pressure; Principal component analysis; Linear regression analysis; Gradual approximation

摘要:: 解决目前利用脉搏波特征参数无法准确计算出病理及生理血压(高血压、低血压和正常血压)的问题。利用主成分分析得到脉搏波主成分参数，利用脉搏波主成分参数和血压进行线性回归得到初步血压计算模型，借助较大的数据库和逐步逼近法建立多级模型，提高模型计算值的精度。改进后的算法能够使用脉搏波特征参数建立普适的血压计算模型，计算出的血压值精度较高。本研究提出的基于脉搏波特征参数的无创血压测量改进算法能够有效扩大血压计算范围,实现包括高血压、低血压和正常血压在内的无创血压测量。

Abstract:: To calculate the blood pressure at physiological level for normal people and at pathological level for hypertension and hypotension patients based on characteristic parameters of pulse wave.Firstly, principal component analysis was used to obtain the principal component parameters of pulse wave, and then the linear regression analysis was employed to establish the preliminary blood pressure calculation model between pulse wave principal component parameters and blood pressure. Afterwards, the scope and accuracy of the model was further increased by applying a database with a large sample size in combination with the principle of gradual approximation. By using the characteristic parameters of pulse wave, the improved algorithm in this paper was applicable to calculate high, normal and low blood pressure with high accuracy. The algorithm proposed can be used to obtain blood pressure value noninvasively at both physiological and pathological level based on the characteristic parameters of pulse wave.