Development of a Coherent Model for Radiometric Core Body Temperature Sensing.
Development of a Coherent Model for Radiometric Core Body Temperature Sensing.
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DOI：
10.1109/jerm.2021.3137962
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发表时间：
2022-09
影响因子：
3.2
通讯作者：
Kiourti, Asimina
中科院分区：
文献类型：
--
作者：
Tisdale, Katrina;Bringer, Alexandra;Kiourti, Asimina
关键词：
本文研究了一种基于物理的宽带模型通过微波辐射测量来确定人体核心体温或大脑温度的实用性。Pennes的生物热方程被应用到一个六层人头模型中，以生成发烧过程中预期的分层温度分布。得到的温度分布被馈入正向电磁(EM)模型，以确定在不同时间点的发射亮度温度。为了通过辐射测量准确地反演物理温度，所使用的模型必须包含人口变化统计数据并覆盖较宽的频带。通过改变相关的热参数和电磁参数，研究了人口变化对发射亮温的影响，模拟了0.1 MHz~10 GHz范围内的亮温发射。蒙特卡罗模拟结合文献导出的热参数和电磁参数的统计分布，分析了所产生的亮度温度的布居水平变化。热参数的变化会影响所得到的亮温信号的偏移量，而EM参数的变化则会改变信号的关键最大值和最小值。高介电层和低介电层的分层通过波干扰产生了这些关键的最大值和最小值。这项研究是第一批应用相干模型来研究人口代表性变量分布对辐射测量核心温度测量的影响的研究之一。这些结果更好地为开发一种可用于整个人口的核心体温测量的在体辐射计提供了信息。
This paper examines the utility of a wideband, physics-based model to determine human core body or brain temperature via microwave radiometry. Pennes’s bioheat equation is applied to a six-layer human head model to generate the expected layered temperature profile during the development of a fever. The resulting temperature profile is fed into the forward electromagnetic (EM) model to determine the emitted brightness temperature at various points in time. To accurately retrieve physical temperature via radiometry, the utilized model must incorporate population variation statistics and cover a wide frequency band. The effect of human population variation on emitted brightness temperature is studied by varying the relevant thermal and EM parameters, and brightness temperature emissions are simulated from 0.1 MHz to 10 GHz. A Monte Carlo simulation combined with literature-derived statistical distributions for the thermal and EM parameters is performed to analyze population-level variation in resulting brightness temperature. Variation in thermal parameters affects the offset of the resulting brightness temperature signature, while EM parameter variation shifts the key maxima and minima of the signature. The layering of high and low permittivity layers creates these key maxima and minima via wave interference. This study is one of the first to apply a coherent model to and the first to examine the effect of population-representative variable distributions on radiometry for core temperature measurement. These results better inform the development of an on-body radiometer useful for core body temperature measurement across the human population.
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DOI：
10.1053/j.jvca.2016.03.141
发表时间：
2016-08-01
影响因子：
2.8
作者：
Makinen, Marja-Tellervo;Pesonen, Anne;Pesonen, Eero
通讯作者：
Pesonen, Eero
影响因子：
4.6
作者：
GORDON, RG;ROEMER, RB;HORVATH, SM
通讯作者：
HORVATH, SM
影响因子：
4.6
作者：
Blowers, Stephen;Marshall, Ian;Valluri, Prashant
通讯作者：
Valluri, Prashant
影响因子：
3.7
作者：
Haeussinger FB;Heinzel S;Hahn T;Schecklmann M;Ehlis AC;Fallgatter AJ
通讯作者：
Fallgatter AJ
影响因子：
4.3
作者：
Bao, JZ;Lu, ST;Hurt, WD
通讯作者：
Hurt, WD