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Design and Implementation of a Novel Interferometric Microwave Radiometer for Human Body Temperature Measurement
In this paper, the key technology of interferometric microwave thermometer is studied, the research can be applied to the temperature measurement of human body and subcutaneous tissue. This paper proposes a hardware architecture of interferometric microwave thermometer with 2 GHz bandwidth, in which...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7956346/ https://www.ncbi.nlm.nih.gov/pubmed/33669012 http://dx.doi.org/10.3390/s21051619 |
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author | Sun, Guangmin Ma, Pan Liu, Jie Shi, Chong Ma, Jingyan Peng, Li |
author_facet | Sun, Guangmin Ma, Pan Liu, Jie Shi, Chong Ma, Jingyan Peng, Li |
author_sort | Sun, Guangmin |
collection | PubMed |
description | In this paper, the key technology of interferometric microwave thermometer is studied, the research can be applied to the temperature measurement of human body and subcutaneous tissue. This paper proposes a hardware architecture of interferometric microwave thermometer with 2 GHz bandwidth, in which the phase shifter is used to correct phase error and the quadrature demodulator is used to realize autocorrelation detection function. The results show that when input power is 7 dBm, the detection sensitivity can reach 176.54 mV/dBm and the temperature resolution of the microwave radiometer can reach 0.4 K. Correction algorithm is designed to improve the accuracy of temperature measurement. After correction, the phase error is reduced from 40° to 1.4° and when temperature changes 0.1 °C, the voltage value changes obviously. Step-by-step calibration and overall calibration are used to calibrate the device. Inversion algorithm can determine the relationship between physical temperature and output voltage. The mean square error of water temperature inversion by multiple linear regression algorithm is 0.607 and that of BP neural network algorithm is 0.334. The inversion accuracy can be improved by reducing the temperature range. Our work provides a promising realization of accurate, rapid and non-contact detection device of human body temperature. |
format | Online Article Text |
id | pubmed-7956346 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-79563462021-03-15 Design and Implementation of a Novel Interferometric Microwave Radiometer for Human Body Temperature Measurement Sun, Guangmin Ma, Pan Liu, Jie Shi, Chong Ma, Jingyan Peng, Li Sensors (Basel) Article In this paper, the key technology of interferometric microwave thermometer is studied, the research can be applied to the temperature measurement of human body and subcutaneous tissue. This paper proposes a hardware architecture of interferometric microwave thermometer with 2 GHz bandwidth, in which the phase shifter is used to correct phase error and the quadrature demodulator is used to realize autocorrelation detection function. The results show that when input power is 7 dBm, the detection sensitivity can reach 176.54 mV/dBm and the temperature resolution of the microwave radiometer can reach 0.4 K. Correction algorithm is designed to improve the accuracy of temperature measurement. After correction, the phase error is reduced from 40° to 1.4° and when temperature changes 0.1 °C, the voltage value changes obviously. Step-by-step calibration and overall calibration are used to calibrate the device. Inversion algorithm can determine the relationship between physical temperature and output voltage. The mean square error of water temperature inversion by multiple linear regression algorithm is 0.607 and that of BP neural network algorithm is 0.334. The inversion accuracy can be improved by reducing the temperature range. Our work provides a promising realization of accurate, rapid and non-contact detection device of human body temperature. MDPI 2021-02-25 /pmc/articles/PMC7956346/ /pubmed/33669012 http://dx.doi.org/10.3390/s21051619 Text en © 2021 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Sun, Guangmin Ma, Pan Liu, Jie Shi, Chong Ma, Jingyan Peng, Li Design and Implementation of a Novel Interferometric Microwave Radiometer for Human Body Temperature Measurement |
title | Design and Implementation of a Novel Interferometric Microwave Radiometer for Human Body Temperature Measurement |
title_full | Design and Implementation of a Novel Interferometric Microwave Radiometer for Human Body Temperature Measurement |
title_fullStr | Design and Implementation of a Novel Interferometric Microwave Radiometer for Human Body Temperature Measurement |
title_full_unstemmed | Design and Implementation of a Novel Interferometric Microwave Radiometer for Human Body Temperature Measurement |
title_short | Design and Implementation of a Novel Interferometric Microwave Radiometer for Human Body Temperature Measurement |
title_sort | design and implementation of a novel interferometric microwave radiometer for human body temperature measurement |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7956346/ https://www.ncbi.nlm.nih.gov/pubmed/33669012 http://dx.doi.org/10.3390/s21051619 |
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