Posture-Specific Breathing Detection
Human respiratory activity parameters are important indicators of vital signs. Most respiratory activity detection methods are naïve abd simple and use invasive detection technology. Non-invasive breathing detection methods are the solution to these limitations. In this research, we propose...
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doaj-e51c362ea3884d38a673ec75c4e023862020-11-25T00:21:32ZengMDPI AGSensors1424-82202018-12-011812444310.3390/s18124443s18124443Posture-Specific Breathing DetectionHualin Guan0Xiaodong Yang1Wanrong Sun2Aifeng Ren3Dou Fan4Nan Zhao5Lei Guan6Daniyal Haider7Qammer H. Abbasi8School of Electronic Engineering, Xidian University, Xi’an 710071, ChinaSchool of Electronic Engineering, Xidian University, Xi’an 710071, ChinaSchool of Electronic Engineering, Xidian University, Xi’an 710071, ChinaSchool of Electronic Engineering, Xidian University, Xi’an 710071, ChinaSchool of Electronic Engineering, Xidian University, Xi’an 710071, ChinaSchool of Electronic Engineering, Xidian University, Xi’an 710071, ChinaSchool of Life Sciences and Technology, Xidian University, Xi’an 710126, ChinaSchool of Electronic Engineering, Xidian University, Xi’an 710071, ChinaSchool of Engineering, University of Glasgow, Glasgow G12 8QQ, UKHuman respiratory activity parameters are important indicators of vital signs. Most respiratory activity detection methods are naïve abd simple and use invasive detection technology. Non-invasive breathing detection methods are the solution to these limitations. In this research, we propose a non-invasive breathing activity detection method based on C-band sensing. Traditional non-invasive detection methods require special hardware facilities that cannot be used in ordinary environments. Based on this, a multi-input, multi-output orthogonal frequency division multiplexing (MIMO-OFDM) system based on 802.11n protocol is proposed in this paper. Our system improves the traditional data processing method and has stronger robustness and lower bit relative error. The system detects the respiratory activity of different body postures, captures and analyses the information, and determines the influence of different body postures on human respiratory activity.https://www.mdpi.com/1424-8220/18/12/4443non-invasiverespiratory activity detectionbody postures |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Hualin Guan Xiaodong Yang Wanrong Sun Aifeng Ren Dou Fan Nan Zhao Lei Guan Daniyal Haider Qammer H. Abbasi |
spellingShingle |
Hualin Guan Xiaodong Yang Wanrong Sun Aifeng Ren Dou Fan Nan Zhao Lei Guan Daniyal Haider Qammer H. Abbasi Posture-Specific Breathing Detection Sensors non-invasive respiratory activity detection body postures |
author_facet |
Hualin Guan Xiaodong Yang Wanrong Sun Aifeng Ren Dou Fan Nan Zhao Lei Guan Daniyal Haider Qammer H. Abbasi |
author_sort |
Hualin Guan |
title |
Posture-Specific Breathing Detection |
title_short |
Posture-Specific Breathing Detection |
title_full |
Posture-Specific Breathing Detection |
title_fullStr |
Posture-Specific Breathing Detection |
title_full_unstemmed |
Posture-Specific Breathing Detection |
title_sort |
posture-specific breathing detection |
publisher |
MDPI AG |
series |
Sensors |
issn |
1424-8220 |
publishDate |
2018-12-01 |
description |
Human respiratory activity parameters are important indicators of vital signs. Most respiratory activity detection methods are naïve abd simple and use invasive detection technology. Non-invasive breathing detection methods are the solution to these limitations. In this research, we propose a non-invasive breathing activity detection method based on C-band sensing. Traditional non-invasive detection methods require special hardware facilities that cannot be used in ordinary environments. Based on this, a multi-input, multi-output orthogonal frequency division multiplexing (MIMO-OFDM) system based on 802.11n protocol is proposed in this paper. Our system improves the traditional data processing method and has stronger robustness and lower bit relative error. The system detects the respiratory activity of different body postures, captures and analyses the information, and determines the influence of different body postures on human respiratory activity. |
topic |
non-invasive respiratory activity detection body postures |
url |
https://www.mdpi.com/1424-8220/18/12/4443 |
work_keys_str_mv |
AT hualinguan posturespecificbreathingdetection AT xiaodongyang posturespecificbreathingdetection AT wanrongsun posturespecificbreathingdetection AT aifengren posturespecificbreathingdetection AT doufan posturespecificbreathingdetection AT nanzhao posturespecificbreathingdetection AT leiguan posturespecificbreathingdetection AT daniyalhaider posturespecificbreathingdetection AT qammerhabbasi posturespecificbreathingdetection |
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1725362163214712832 |