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用于监测呼吸模式和呼吸频率的聚合物涂层光纤探头。

Polymer-coated fiber optic probe for the monitoring of breathing pattern and respiratory rate.

作者信息

Iacoponi S, Massaroni C, Lo Presti D, Saccomandi P, Caponero M A, DrAmato R, Schena E

出版信息

Annu Int Conf IEEE Eng Med Biol Soc. 2018 Jul;2018:1616-1619. doi: 10.1109/EMBC.2018.8512566.

DOI:10.1109/EMBC.2018.8512566
PMID:30440702
Abstract

In recent years, no-invasive and small size systems are meeting the demand of the new healthcare system, in which the vital signs monitoring is gaining in importance. In this context, Fiber Bragg grating (FBG) sensors are becoming very popular and FBG-based systems could be used for monitoring vital signs. At the same time, FBG could be able to sense chemical parameters by the polymer functionalization. The aim of our study was investigating the ability of a polymer-coated FBG-based probe for monitoring breathing patterns and respiratory rates. We tested the proposed FBG-based probe on 9 healthy volunteers during spirometry, the most common pulmonary function test. Results showed the high accuracy of the proposed probe to detect respiratory rate. The comparison between the respiratory rates estimated by the probe with the ones by the spirometer showed the absolute value of the percentage errors lower than 2.07% (in the 78% of cases <.91%). Lastly, a Bland Altman analysis was performed to compare the instantaneous respiratory rate values gathered by the spirometer and the FBG probe showing the feasibility of breath-by-breath monitoring by the proposed probe. Results showed a bias of 0.06± 2.90 $\mathrm{breaths}\square {\mathrm {min}}^{-1}$. Additionally, our system was able to follow the breathing activities and monitoring the breathing patterns.

摘要

近年来,无创且小型化的系统正满足新医疗体系的需求,其中生命体征监测变得愈发重要。在此背景下,光纤布拉格光栅(FBG)传感器正变得非常流行,基于FBG的系统可用于监测生命体征。同时,通过聚合物功能化,FBG能够感知化学参数。我们研究的目的是探究一种基于聚合物涂层FBG的探头监测呼吸模式和呼吸频率的能力。我们在肺活量测定(最常见的肺功能测试)过程中,对9名健康志愿者测试了所提出的基于FBG的探头。结果显示所提出的探头检测呼吸频率具有很高的准确性。探头估计的呼吸频率与肺活量计估计的呼吸频率之间的比较表明,百分比误差的绝对值低于2.07%(在78%的情况下<.91%)。最后,进行了布兰德-奥特曼分析,以比较肺活量计和FBG探头采集的瞬时呼吸频率值,结果表明所提出的探头逐次呼吸监测具有可行性。结果显示偏差为0.06±2.90次·分钟⁻¹。此外,我们的系统能够跟踪呼吸活动并监测呼吸模式。

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