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Experimental Study of Wireless Monitoring of Human Respiratory Movements Using UWB Impulse Radar Systems

This paper analyzes and discusses the capability of human being detection using impulse ultra-wideband (UWB) radar with an improved detection algorithm. The multiple automatic gain control (AGC) technique is employed to enhance the amplitudes of human respiratory signals. Two filters with seven valu...

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Detalles Bibliográficos
Autores principales: Liang, Xiaolin, Wang, Yuankai, Wu, Shiyou, Gulliver, Thomas Aaron
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6165135/
https://www.ncbi.nlm.nih.gov/pubmed/30213122
http://dx.doi.org/10.3390/s18093065
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author Liang, Xiaolin
Wang, Yuankai
Wu, Shiyou
Gulliver, Thomas Aaron
author_facet Liang, Xiaolin
Wang, Yuankai
Wu, Shiyou
Gulliver, Thomas Aaron
author_sort Liang, Xiaolin
collection PubMed
description This paper analyzes and discusses the capability of human being detection using impulse ultra-wideband (UWB) radar with an improved detection algorithm. The multiple automatic gain control (AGC) technique is employed to enhance the amplitudes of human respiratory signals. Two filters with seven values averaged are used to further improve the signal-to-noise ratio (SNR) of the human respiratory signals. The maximum slope and standard deviation are used for analyzing the characteristics of the received pulses, which can provide two distance estimates for human being detection. Most importantly, based on the two distance estimates, we can accurately judge whether there are human beings in the detection environments or not. The data size can be reduced based on the defined interested region, which can improve the operation efficiency of the radar system for human being detection. The developed algorithm provides excellent performance regarding human being detection, which is validated through comparison with several well-known algorithms.
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spelling pubmed-61651352018-10-10 Experimental Study of Wireless Monitoring of Human Respiratory Movements Using UWB Impulse Radar Systems Liang, Xiaolin Wang, Yuankai Wu, Shiyou Gulliver, Thomas Aaron Sensors (Basel) Article This paper analyzes and discusses the capability of human being detection using impulse ultra-wideband (UWB) radar with an improved detection algorithm. The multiple automatic gain control (AGC) technique is employed to enhance the amplitudes of human respiratory signals. Two filters with seven values averaged are used to further improve the signal-to-noise ratio (SNR) of the human respiratory signals. The maximum slope and standard deviation are used for analyzing the characteristics of the received pulses, which can provide two distance estimates for human being detection. Most importantly, based on the two distance estimates, we can accurately judge whether there are human beings in the detection environments or not. The data size can be reduced based on the defined interested region, which can improve the operation efficiency of the radar system for human being detection. The developed algorithm provides excellent performance regarding human being detection, which is validated through comparison with several well-known algorithms. MDPI 2018-09-12 /pmc/articles/PMC6165135/ /pubmed/30213122 http://dx.doi.org/10.3390/s18093065 Text en © 2018 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
Liang, Xiaolin
Wang, Yuankai
Wu, Shiyou
Gulliver, Thomas Aaron
Experimental Study of Wireless Monitoring of Human Respiratory Movements Using UWB Impulse Radar Systems
title Experimental Study of Wireless Monitoring of Human Respiratory Movements Using UWB Impulse Radar Systems
title_full Experimental Study of Wireless Monitoring of Human Respiratory Movements Using UWB Impulse Radar Systems
title_fullStr Experimental Study of Wireless Monitoring of Human Respiratory Movements Using UWB Impulse Radar Systems
title_full_unstemmed Experimental Study of Wireless Monitoring of Human Respiratory Movements Using UWB Impulse Radar Systems
title_short Experimental Study of Wireless Monitoring of Human Respiratory Movements Using UWB Impulse Radar Systems
title_sort experimental study of wireless monitoring of human respiratory movements using uwb impulse radar systems
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6165135/
https://www.ncbi.nlm.nih.gov/pubmed/30213122
http://dx.doi.org/10.3390/s18093065
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