利用光纤干涉仪和最大后验估计监测呼吸

D. Zazula, S. Sprager
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引用次数: 2

摘要

本文揭示了一种使用不显眼的光纤传感器来识别呼吸事件的新方法。当光纤与人体直接或间接接触时,可以检测到微弱的生命体征。在对光纤信号进行解调后,可以通过观察心跳幅度的变化来对呼吸进行分类。将其引入最大后验估计(MAP)中,可以定位灵感和呼气的时间瞬间。对14名年轻健康受试者进行亚极限运动试验后的实验估计,灵感的总灵敏度为94.4±5.62%,总精度为96.02±2.26%。总体平均绝对误差为260±143 ms。类似的数字也适用于到期。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Monitoring respiration by using fiber-optic interferomtery and maximum a posteriori estimation
This paper reveals a novel approach to recognize respiration events by using an unobtrusive fiber-optic sensor. When the optical fiber is in a direct or indirect contact with human body, it detects weak contributions of vital signs. After a demodulation of fiber-optic signal, breathing can be sorted out by observing variations of heartbeat amplitudes. Introduced into a maximum a posteriori (MAP) estimation, it can locate time instants of inspirations and expirations. Estimates in experiments conducted after submaximal exercise tests in 14 young healthy subjects yield overall sensitivity 94.4±5.62% and overall precision 96.02±2.26% for inspirations. Overall mean absolute error of the inspiration onsets equals 260±143 ms. Similar figures apply to expirations.
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