Noninvasive and Cuffless Blood Pressure Estimation Using Photoplethysmography Index

Yumin Yang, Yifan Chen, Lei Liu, Yan Zhao, Deyuan Kong, Xiaorong Ding
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Abstract

Noninvasive and cuffless blood pressure estimation is crucial for the early prevention, diagnosis and treatment of hypertension and related cardiovascular and cerebrovascular diseases. The noninvasive cuffless blood pressure measurement method based on pulse wave transit time (PTT) has been widely studied due to its noninvasive, low cost and simple operation. However, a single PTT cannot accurately track various changes in blood pressure. Therefore, it is necessary to explore new parameters other than PTT that can reflect blood pressure changes and be used for blood pressure estimation. This paper proposes the use of systolic area (SA) to estimate blood pressure, a feature that can be obtained from the photoplethysmographic signal (PPG). At the same time, we try to compare this feature with the pulse wave at half amplitude (PWHA) and the pulse wave amplitude (AM), which are also obtained from PPG, and use the method of multiple linear regression to fuse them. In addition, we did a controlled experiment to compare the traditional PTT-based method with the method based on these feature fusions. The results showed that when SA is used alone for BP estimation, for SBP and DBP, the accuracy is 0.004±6.55 mmHg and -0.09±3.52 mmHg, respectively. When PWHA, SA, AM and PTT are combined, for SBP and DBP, the accuracy is 0.29±4.97 mmHg and -0.14±3.06 mmHg, respectively. These results demonstrate that SA is a promising feature, and the method based on the above four features fusion can greatly improve the accuracy of blood pressure estimation. At the same time, it is also possible to rely solely on PPG signal to estimate blood pressure.
利用光容积脉搏波指数无创、无袖带测量血压
无创、无袖带血压测量对于高血压及相关心脑血管疾病的早期预防、诊断和治疗至关重要。基于脉搏波传递时间(PTT)的无创无袖套血压测量方法因其无创、成本低、操作简单等优点得到了广泛的研究。然而,单一的PTT不能准确地跟踪血压的各种变化。因此,有必要探索除PTT外能反映血压变化的新参数,用于血压估计。本文提出使用收缩压面积(SA)来估计血压,这一特征可以从光容积脉搏波信号(PPG)中获得。同时,我们尝试将这一特征与同样由PPG得到的脉冲半幅波(PWHA)和脉冲幅值(AM)进行比较,并采用多元线性回归的方法对它们进行融合。此外,我们还进行了对照实验,将传统的基于ptt的方法与基于这些特征融合的方法进行比较。结果表明,单独使用SA进行血压估计时,收缩压和舒张压的准确度分别为0.004±6.55 mmHg和-0.09±3.52 mmHg。当PWHA、SA、AM和PTT联合测量收缩压和舒张压时,精度分别为0.29±4.97 mmHg和-0.14±3.06 mmHg。这些结果表明,SA是一个很有前途的特征,基于上述四个特征融合的方法可以大大提高血压估计的精度。同时,也可以仅依靠PPG信号来估计血压。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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