使用身体传感器进行连续无袖带血压测量

F. Heydari, M. P. Ebrahim, Taiyang Wu, Katie Walker, K. Joe, Jean-Michel Redouté, M. Yuce
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引用次数: 8

摘要

使用脉搏到达时间(PAT)的无创无袖套血压(BP)测量为医疗保健应用提供了一些独特的功能,包括改进的可穿戴性和用户友好的血压监测。研究人员大多使用心电图(ECG)和光电脉搏图(PPG)信号来测量PAT,这需要至少两个独立的附件连接到受试者的身体上。本文研究了使用肩部生物阻抗(BImp)信号计算人类无袖带收缩压(SBP),并与PPG(左耳传感器)和振荡血压计收缩压(左臂)进行了比较。BImp传感器被放置在受试者的肩膀上,可以完全隐藏在他们的衣服下面。为了计算不同的血压变化趋势,我们采用了两组实验条件(主要是姿势和运动)。研究人员从43名志愿者中获取了他们坐着、站着和仰卧的数据,然后再从26名志愿者中获取了在轻度、中度和重度阻力设置下骑健身自行车的数据。使用BImp和PPG信号数据,比较了计算收缩压的四种不同数学模型的准确性。总体而言,基于BImp的PATs计算收缩压的结果比从PPG中提取的PATs准确2%。
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Continuous Cuffless Blood Pressure Measurement Using Body Sensors
Non-invasive cuffless blood pressure (BP) measurement using pulse arrival time (PAT) offers some unique features for healthcare applications including improved wearability and user-friendly BP monitoring. Researchers have mostly been using electrocardiography (ECG) and photoplesthysmography (PPG) signals to measure PAT, which requires at least two separate attachments to the subject's body. In this paper, human cuffless systolic BP (SBP) calculations using the shoulders bioimpedance (BImp) signal were investigated and compared to PPG (left ear sensor) and oscillometric sphygmomanometric SBP (left upper arm). The BImp sensors were placed on subject's shoulder and could be completely hidden under their clothes. In order to calculate different BP trends, two groups of experimental conditions (mainly postures and exercises) were followed. Data was obtained from 43 volunteer participants whilst they were sitting, standing and supine, and 26 subjects then cycled on an exercise bike with light, moderate and heavy resistance settings. Four different mathematical models for calculating SBP were compared for accuracy, using both BImp and PPG signal data. Overall, the results of SBP calculation with BImp based PATs were 2% more accurate than that of PATs extracted from PPG.
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