使用带湿电极的腕戴式生物阻抗传感器进行连续血压监测

Bassem Ibrahim, R. Jafari
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引用次数: 23

摘要

持续的血压监测对于心血管疾病的诊断和治疗至关重要。目前,BP测量采用基于袖扣的方法,这种方法突兀,不适合连续监测。使用脉冲传递时间(PTT)估计BP是一种突出的方法,它消除了对袖带的需要。在本文中,我们提出了一种基于放置在手腕上的2×2生物阻抗传感器阵列的PTT测量来估计BP的新方法,该方法可以集成到小型可穿戴设备中,如智能手表,用于连续血压监测。采用AdaBoost回归模型,基于从腕部生物阻抗信号中提取的PTT特征估计舒张压和收缩压。使用我们定制的生物阻抗传感器从三名参与者那里收集数据。我们的方法可以准确地估计血压,舒张压的相关系数、平均绝对误差(MAE)和标准差(STD)分别为0.92、1.71和2.46 mmHg,收缩压的相关系数、平均绝对误差(MAE)和标准差(STD)分别为0.94、2.57和4.35 mmHg。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Continuous Blood Pressure Monitoring using Wrist-worn Bio-impedance Sensors with Wet Electrodes
Continuous blood pressure (BP) monitoring is essential for diagnosis and management of cardiovascular disorders. Currently, BP is measured using cuff-based methods, which are obtrusive and not suitable for continuous monitoring. Estimation of BP using pulse transit time (PTT) is a prominent method that eliminates the need for a cuff. In this paper, we present a new method to estimate BP based on PTT measurements from an array of 2×2 bio-impedance sensors placed on the wrist, which can be integrated into a small wearable device such as a smart watch for continuous BP monitoring. Diastolic and systolic BP were estimated using AdaBoost regression model based on PTT features extracted from the wrist bio-impedance signals. Data was collected from three participants using our custom bio-impedance sensors. Our method can estimate BP accurately with correlation coefficient, mean absolute error (MAE) and standard deviation (STD) of 0.92, 1.71 and 2.46 mmHg for the diastolic BP and 0.94, 2.57 and 4.35 mmHg for the systolic BP.
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