Non-Contact Vital States Identification of Trapped Living Bodies Using Ultra-Wideband Bio-Radar

Identifying the vital states of trapped survivors during post-disaster rescue missions can result in improved rescue strategies and provide injury pre-diagnosis information. The most effective rescue method is the use of bio-radar based non-contact measurements. Presently, bio-radar techniques focus...

Full description

Bibliographic Details
Main Authors: Yangyang Ma, Pengfei Wang, Huijun Xue, Fulai Liang, Fugui Qi, Hao Lv, Xiao Yu, Jianqi Wang, Yang Zhang
Format: Article
Language:English
Published: IEEE 2021-01-01
Series:IEEE Access
Subjects:
Online Access:https://ieeexplore.ieee.org/document/9311502/
id doaj-0d2a8efe56f14293b185a5e6550dd29a
record_format Article
spelling doaj-0d2a8efe56f14293b185a5e6550dd29a2021-06-23T23:00:12ZengIEEEIEEE Access2169-35362021-01-0196550655910.1109/ACCESS.2020.30483819311502Non-Contact Vital States Identification of Trapped Living Bodies Using Ultra-Wideband Bio-RadarYangyang Ma0https://orcid.org/0000-0003-0003-2726Pengfei Wang1https://orcid.org/0000-0001-6298-7478Huijun Xue2Fulai Liang3Fugui Qi4https://orcid.org/0000-0002-9059-8645Hao Lv5Xiao Yu6Jianqi Wang7https://orcid.org/0000-0002-0487-4923Yang Zhang8https://orcid.org/0000-0002-8540-1254Department of Medical Electronics, School of Biomedical Engineering, Fourth Military Medical University, Xi’an, ChinaDepartment of Medical Electronics, School of Biomedical Engineering, Fourth Military Medical University, Xi’an, ChinaDepartment of Medical Electronics, School of Biomedical Engineering, Fourth Military Medical University, Xi’an, ChinaDepartment of Medical Electronics, School of Biomedical Engineering, Fourth Military Medical University, Xi’an, ChinaDepartment of Medical Electronics, School of Biomedical Engineering, Fourth Military Medical University, Xi’an, ChinaDepartment of Medical Electronics, School of Biomedical Engineering, Fourth Military Medical University, Xi’an, ChinaDepartment of Medical Electronics, School of Biomedical Engineering, Fourth Military Medical University, Xi’an, ChinaDepartment of Medical Electronics, School of Biomedical Engineering, Fourth Military Medical University, Xi’an, ChinaDepartment of Medical Electronics, School of Biomedical Engineering, Fourth Military Medical University, Xi’an, ChinaIdentifying the vital states of trapped survivors during post-disaster rescue missions can result in improved rescue strategies and provide injury pre-diagnosis information. The most effective rescue method is the use of bio-radar based non-contact measurements. Presently, bio-radar techniques focus on detecting and locating. Herein, a method to identify vital states with an ultra-wideband bio-radar is proposed, while simulating a trapped condition with Beagle dogs. This investigation revealed three vital stages under the trapped condition: normal, transitioning, and agonal stages. Upon entering the transitioning stage, the heartrates were apparently high, and the respiratory rates increased sharply. The temperatures dropped rapidly once passing this stage. In particular, the respiratory waveforms from the bio-radar frequently change from a normal sine like curve to an “M” like curve within the transitioning stage. The accurate beginning and ending of the transitioning stage are defined by a newly proposed indicator of relative occurrence frequency. Pathological observations indicated that the fragmentation of lamellar bodies within type II alveolar cells caused the insufficiency of the lung surfactant, and further resulted in the occurrence of the “M” like curves. This pioneering work realizes the vital states identification only using a non-contact ultra-wideband bio-radar, thereby enables to infer the health conditions, life expectancy, and appropriate subsequent treatment of victims in the trapped condition. Therefore, it has the potential to promote the welfare of post-disaster trapped human victims.https://ieeexplore.ieee.org/document/9311502/Identifying vital stateslamellar bodieslung surfactantpost-disaster rescuerespirationultra-wideband (UWB) bio-radar
collection DOAJ
language English
format Article
sources DOAJ
author Yangyang Ma
Pengfei Wang
Huijun Xue
Fulai Liang
Fugui Qi
Hao Lv
Xiao Yu
Jianqi Wang
Yang Zhang
spellingShingle Yangyang Ma
Pengfei Wang
Huijun Xue
Fulai Liang
Fugui Qi
Hao Lv
Xiao Yu
Jianqi Wang
Yang Zhang
Non-Contact Vital States Identification of Trapped Living Bodies Using Ultra-Wideband Bio-Radar
IEEE Access
Identifying vital states
lamellar bodies
lung surfactant
post-disaster rescue
respiration
ultra-wideband (UWB) bio-radar
author_facet Yangyang Ma
Pengfei Wang
Huijun Xue
Fulai Liang
Fugui Qi
Hao Lv
Xiao Yu
Jianqi Wang
Yang Zhang
author_sort Yangyang Ma
title Non-Contact Vital States Identification of Trapped Living Bodies Using Ultra-Wideband Bio-Radar
title_short Non-Contact Vital States Identification of Trapped Living Bodies Using Ultra-Wideband Bio-Radar
title_full Non-Contact Vital States Identification of Trapped Living Bodies Using Ultra-Wideband Bio-Radar
title_fullStr Non-Contact Vital States Identification of Trapped Living Bodies Using Ultra-Wideband Bio-Radar
title_full_unstemmed Non-Contact Vital States Identification of Trapped Living Bodies Using Ultra-Wideband Bio-Radar
title_sort non-contact vital states identification of trapped living bodies using ultra-wideband bio-radar
publisher IEEE
series IEEE Access
issn 2169-3536
publishDate 2021-01-01
description Identifying the vital states of trapped survivors during post-disaster rescue missions can result in improved rescue strategies and provide injury pre-diagnosis information. The most effective rescue method is the use of bio-radar based non-contact measurements. Presently, bio-radar techniques focus on detecting and locating. Herein, a method to identify vital states with an ultra-wideband bio-radar is proposed, while simulating a trapped condition with Beagle dogs. This investigation revealed three vital stages under the trapped condition: normal, transitioning, and agonal stages. Upon entering the transitioning stage, the heartrates were apparently high, and the respiratory rates increased sharply. The temperatures dropped rapidly once passing this stage. In particular, the respiratory waveforms from the bio-radar frequently change from a normal sine like curve to an “M” like curve within the transitioning stage. The accurate beginning and ending of the transitioning stage are defined by a newly proposed indicator of relative occurrence frequency. Pathological observations indicated that the fragmentation of lamellar bodies within type II alveolar cells caused the insufficiency of the lung surfactant, and further resulted in the occurrence of the “M” like curves. This pioneering work realizes the vital states identification only using a non-contact ultra-wideband bio-radar, thereby enables to infer the health conditions, life expectancy, and appropriate subsequent treatment of victims in the trapped condition. Therefore, it has the potential to promote the welfare of post-disaster trapped human victims.
topic Identifying vital states
lamellar bodies
lung surfactant
post-disaster rescue
respiration
ultra-wideband (UWB) bio-radar
url https://ieeexplore.ieee.org/document/9311502/
work_keys_str_mv AT yangyangma noncontactvitalstatesidentificationoftrappedlivingbodiesusingultrawidebandbioradar
AT pengfeiwang noncontactvitalstatesidentificationoftrappedlivingbodiesusingultrawidebandbioradar
AT huijunxue noncontactvitalstatesidentificationoftrappedlivingbodiesusingultrawidebandbioradar
AT fulailiang noncontactvitalstatesidentificationoftrappedlivingbodiesusingultrawidebandbioradar
AT fuguiqi noncontactvitalstatesidentificationoftrappedlivingbodiesusingultrawidebandbioradar
AT haolv noncontactvitalstatesidentificationoftrappedlivingbodiesusingultrawidebandbioradar
AT xiaoyu noncontactvitalstatesidentificationoftrappedlivingbodiesusingultrawidebandbioradar
AT jianqiwang noncontactvitalstatesidentificationoftrappedlivingbodiesusingultrawidebandbioradar
AT yangzhang noncontactvitalstatesidentificationoftrappedlivingbodiesusingultrawidebandbioradar
_version_ 1724163410530140160