一种利用血压传感器进行侵入式测量的脉搏波速度自动估计

Junghyeon Choi, Junho Park, Jongman Cho
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摘要

动脉的顺应性和僵硬性与动脉疾病密切相关。脉波速度(PWV)是血液动力学中一个基本而常用的参数。动脉内的血压和血流波是重要的,因为血管状况直接影响PWV。然而,没有标准化的方法来测量PWV,测量困难。传统的PWV测量方法是手动计算冠状动脉近端和远端点之间的脉搏波传输时间,并在条形图上记录脉搏波和心电信号。本研究采用有创法使用应变片组成的压力传感器测量动脉血压,使用常规心电电极记录心电信号。采用参考电平和时间窗技术提取心电r峰点,采用BP信号微分和时间窗技术确定BP上升起始点。本文提出的算法能够自动测量PWV,在特征点提取和PWV计算方面具有较好的鲁棒性。
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An automatic pulse wave velocity estimation using a blood pressure sensor for invasive measurement
The compliance and stiffness of artery are closely related to the disease of arteries. Pulse wave velocity (PWV) in the blood vessel is a basic and common parameter in the hemodynamic. Blood pressure (BP) and blood flow wave traveling in arteries are important because the PWV is affected directly by the condition of blood vessels. However, there is no standardized method to measure the PWV and it is difficult to measure. The conventional PWV measurement uses manual calculation of the pulse wave transmission time between coronary arterial proximal and distal points on a strip chart on which the pulse wave and ECG signal are recorded. In this study, a pressure sensor consisting of strain gauges is used to measure the BP of arteries in invasive method and regular ECG electrodes are used to record the ECG signal. The R-peak point of ECG is extracted by using a reference level and time windowing technique and the ascending starting point of BP is determined by using differentiation of the BP signal and time windowing technique. The algorithm proposed in this study, which can measure PWV automatically, shows robust and good results in the extraction of feature points and calculation of PWV.
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