使用微波雷达传感器非接触监测血压的相对变化

Satoshi Suzuki, G. Sun, Masaaki Hoshiga, K. Kotani, T. Asao
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引用次数: 1

摘要

本研究旨在确认是否可以使用微波雷达传感器对血压的相对变化进行非接触监测。首先推导了血压估计方程,然后在诱导血压变化的同时,利用非接触法获得的数据验证了估计方程的有效性。我们认为Bramwell-Hill方程包含一些直接指示血压变化的参数,可以作为构建非接触方法估计方程的合适参考,因为使用微波雷达传感器的测量可以测量由血管脉动引起的皮肤表面的微小尺度运动。为了估计血压的相对变化,我们考虑了一个简单的方程,包括脉冲传递时间(PTT)、信号幅度和身体尺寸作为参数。为了验证该方程估算血压变化的有效性,我们进行了两个实验:使用计力计的循环任务,由于转换器之后,在两个雷达输出中应用了带通滤波器passband - 2.5以减少噪声和干扰,从而引起血压波动。这些带通滤波器覆盖每分钟30 - 150次心跳的范围。经过带通滤波后,为了估计血压的变化,从信号数据中获取参数,将获取的参数作为输入,用方程估计血压的变化。
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Noncontact Monitoring of Relative Changes in Blood Pressure Using Microwave Radar Sensors
This study aims to confirm whether noncontact monitoring of relative changes in blood pressure can be estimated using microwave radar sensors. First, an equation to estimate blood pressure was derived, after which, the effectiveness of the estimation equation was confirmed using data obtained by a noncontact method while inducing variations in blood pressure. We considered that the Bramwell-Hill equation, which contains some parameters that directly indicate changes in blood pressure, would be an appropriate reference to con-struct an estimation equation for the noncontact method, because measurements using microwave radar sensors can measure minute scale motion on the skin surface induced by the pulsation of blood vessels. In order to estimate relative changes in blood pressure, we considered a simple equation including the pulse transit time (PTT), amplitude of signals and body dimensions as parameters. To verify the effectiveness of the equation for estimating changes in blood pressure, two experiments were conducted: a cycling task using an ergometer, which induces blood pressure fluctuations because of After the converter, bandpass filters passband - 2.5 were applied to both radar outputs to reduce the noise and interference. These bandpass filters cover ranges of 30 - 150 heartbeats per minute. After bandpass filtering, to estimate the change in blood pressure, parameters were acquired from signal data, and the change in blood pressure was estimated using the equation with the acquired parameters as inputs.
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