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Digital Compensation Method for Enhancing the Blood Pressure Estimation based on the Arterial Pulse Waveform

机译:基于动脉脉冲波形提高血压估计的数字补偿方法

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摘要

Blood pressure measurement method by using the PPG sensor and arterial pulse waveform has a prior condition that the sensor has to maintain constant pressure on the artery all over the measurement process, and it is very hard under the 24-hours continual measurement environment. To get the reliable blood pressure measurement result, we have to find a way to compensate the sensor pressure variation over the artery. In this work, we proposed the new digital compensation method that can measure the arterial pulse waveform and sensor pressure simultaneously and can compensate the blood pressure estimation equation along with the sensor pressure variation to find out more precise blood pressure. we also designed and implemented the arterial pulse waveform measurement system includes digital PPG sensor, ADC, Raspberry PI 3 and smartphone app that has new blood pressure estimation equation that can compensate the sensor pressure variation on the differential values of the arterial pulse waveform and BP-relation equation. The android smartphone app processes the arterial pulse waveform from the Raspberry PI 3 through the Bluetooth link and estimates more accurate blood pressure with the proposed estimation equation. To evaluate the estimation accuracy, we implemented the experimental environment and compared the experimental results to the commercial tonometer. The experimental results showed the proposed estimation equation can improve the estimation accuracy up to 5.5% on systolic and 30% on diastolic for hypertension and normal volunteers, and can make continuous estimation within 5% error rate for hypertension.
机译:通过使用PPG传感器的血压测量方法和动脉脉搏波形具有的先决条件,该传感器具有保持在动脉上遍布测量过程恒定压力,并且它是非常硬的24小时的连续测量环境下。为了获得可靠的血压测量结果,我们必须找到一种方式来补偿在动脉传感器的压力变化。在这项工作中,我们提出,可以同时测量动脉脉搏波形和传感器压力,并且可以与所述传感器的压力变化沿着补偿血压估计方程找出更精确的血压新的数字补偿方法。我们还设计和实现了动脉脉搏波形测量系统包括数字PPG传感器,ADC,树莓PI 3和智能电话应用,其具有新的血压估计方程,可以在动脉脉搏波形和BP-的差分值补偿传感器的压力变化关系式。 Android智能应用通过蓝牙链路处理从树莓PI 3中的动脉脉搏波形,并估计与所提出的估计方程更准确的血压。为了评估估计的精度,我们实施了实验环境和比较实验结果,以商业眼压计。实验结果表明所提出的估计方程可以提高推定精度可达上收缩5.5%,对舒张高血压和正常志愿者30%,并且可以使误码率在5%以内的连续估计高血压。

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