Cuffless Blood Pressure Monitoring from an Array of Wrist Bio-Impedance Sensors Using Subject-Specific Regression Models: Proof of Concept
Cuffless Blood Pressure Monitoring from an Array of Wrist Bio-Impedance Sensors Using Subject-Specific Regression Models: Proof of Concept
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DOI：
10.1109/tbcas.2019.2946661
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发表时间：
2019-12-01
影响因子：
5.1
通讯作者：
Jafari, Roozbeh
中科院分区：
文献类型：
--
作者：
Ibrahim, Bassem;Jafari, Roozbeh
与基于办公室的血压测量相比，连续和逐搏监测血压（BP）在预测未来心血管疾病方面具有显著优势。传统的血压测量方法是基于袖带，这是笨重的，突兀的，不适用于连续监测。脉搏传导时间（PTT）的测量是连续血压监测的主要无袖带方法之一。PTT是压力脉冲在动脉血管中的两个点之间行进所花费的时间，其与BP相关。在本文中，我们提出了一种新的袖带BP方法，使用一个阵列的手腕佩戴的生物阻抗传感器放置在桡动脉和尺动脉的手腕，监测动脉压脉搏的血容量变化在每个传感器站点。BP是通过使用AdaBoost回归模型，根据选定的动脉压力脉冲特征，如渡越时间，幅度和压力脉冲的斜率，这是取决于心脏活动和手腕动脉的血管特性的准确估计。基于校准数据为每个受试者开发单独的模型，以捕获BP参数的个体变化。在这项初步研究中，使用我们定制的低噪声生物阻抗传感硬件，从10名年龄在18至30岁之间的健康参与者中收集数据。运动后BP准确估计，舒张压的平均相关系数和均方根误差（RMSE）分别为0.77和2.6 mmHg，收缩压为0.86和3.4 mmHg。
Continuous and beat-to-beat monitoring of blood pressure (BP), compared to office-based BP measurement, provides significant advantages in predicting future cardiovascular disease. Traditional BP measurement methods are based on a cuff, which is bulky, obtrusive and not applicable to continuous monitoring. Measurement of pulse transit time (PTT) is one of the prominent cuffless methods for continuous BP monitoring. PTT is the time taken by the pressure pulse to travel between two points in an arterial vessel, which is correlated with the BP. In this paper, we present a new cuffless BP method using an array of wrist-worn bio-impedance sensors placed on the radial and the ulnar arteries of the wrist to monitor the arterial pressure pulse from the blood volume changes at each sensor site. BP is accurately estimated by using AdaBoost regression model based on selected arterial pressure pulse features such as transit time, amplitude and slope of the pressure pulse, which are dependent on the cardiac activity and the vascular properties of the wrist arteries. A separate model is developed for each subject based on calibration data to capture the individual variations of BP parameters. In this pilot study, data was collected from 10 healthy participants with age ranges from 18 to 30 years after exercising using our custom low-noise bio-impedance sensing hardware. Post-exercise BP was accurately estimated with an average correlation coefficient and root mean square error (RMSE) of 0.77 and 2.6 mmHg for the diastolic BP and 0.86 and 3.4 mmHg for the systolic BP.