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使用同步人体传感器网络监测动脉脉搏波。

Monitoring arterial pulse waves with synchronous body sensor network.

作者信息

Peltokangas Mikko, Vehkaoja Antti, Verho Jarmo, Huotari Matti, Röning Juha, Lekkala Jukka

出版信息

IEEE J Biomed Health Inform. 2014 Nov;18(6):1781-7. doi: 10.1109/JBHI.2014.2328788.

Abstract

A wireless body sensor network for arterial pulse wave (PW) measurements is presented and tested with ten subjects. The system is capable of recording both mechanical PW contours with sensors made of a low-cost polypropylene-based material called electromechanical film (EMFi) and volume pulse signal with photoplethysmographic transducers. By using both types of sensors, the PW contours can be recorded from various locations. The system combined with automatic analysis methods enables to easily analyze the PW contours in order to obtain a more comprehensive view on the vascular health. To demonstrate this, two parameters used in literature, reflection index and radial augmentation index were calculated for the test subjects as a function of time. The results show that these parameter values may vary more than 20% in a period of 100 s, which suggests that a large number of PWs should be analyzed before making conclusions based on the calculated indices. In addition, the effects of the static bias force to the mechanical PW signal recorded with the EMFi sensors were studied. The PW signal with the maximum amplitude is obtained when the pressure caused by the static bias force corresponds to the contact pressure between typical systolic and diastolic blood pressures. The EMFi sensors used in the proposed system are a potential low-cost alternative for tonometric sensors in collecting data in the PW analysis for arterial screening.

摘要

本文介绍了一种用于动脉脉搏波(PW)测量的无线人体传感器网络,并对10名受试者进行了测试。该系统能够使用一种名为机电薄膜(EMFi)的低成本聚丙烯基材料制成的传感器记录机械PW轮廓,以及使用光电容积脉搏波传感器记录容积脉搏信号。通过使用这两种类型的传感器,可以从不同位置记录PW轮廓。该系统与自动分析方法相结合,能够轻松分析PW轮廓,以便更全面地了解血管健康状况。为了证明这一点,针对测试对象计算了文献中使用的两个参数,即反射指数和径向增强指数,并将其作为时间的函数。结果表明,这些参数值在100秒的时间段内可能变化超过20%,这表明在基于计算出的指数得出结论之前,应该分析大量的脉搏波。此外,还研究了静态偏置力对用EMFi传感器记录的机械PW信号的影响。当静态偏置力引起的压力对应于典型收缩压和舒张压之间的接触压力时,可获得最大幅度的PW信号。所提出的系统中使用的EMFi传感器是用于动脉筛查的PW分析中采集数据的眼压传感器的一种潜在低成本替代品。

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