Posture-Specific Breathing Detection

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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Main Authors: Hualin Guan, Xiaodong Yang, Wanrong Sun, Aifeng Ren, Dou Fan, Nan Zhao, Lei Guan, Daniyal Haider, Qammer H. Abbasi
Format: Article
Language:English
Published: MDPI AG 2018-12-01
Series:Sensors
Subjects:
non-invasive
respiratory activity detection
body postures
Online Access:https://www.mdpi.com/1424-8220/18/12/4443
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spelling 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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