Posture-specific breathing detection

Guan, H., Yang, X., Sun, W., Ren, A. , Fan, D., Zhao, N., Guan, L., Haider, D. and Abbasi, Q. H. (2018) Posture-specific breathing detection. Sensors, 18(12), 4443. (doi: 10.3390/s18124443)

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Abstract

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.

Item Type:Articles
Additional Information:The work was supported in part by the Fundamental Research Funds for the Central Universities (JB180205), in part by the International Scientific and Technology Cooperation and Exchange Projects in Shaanxi Province (2017KW-005).
Status:Published
Refereed:Yes
Glasgow Author(s) Enlighten ID:Abbasi, Professor Qammer and Ren, Dr Aifeng
Authors: Guan, H., Yang, X., Sun, W., Ren, A., Fan, D., Zhao, N., Guan, L., Haider, D., and Abbasi, Q. H.
College/School:College of Science and Engineering > School of Engineering
College of Science and Engineering > School of Engineering > Electronics and Nanoscale Engineering
Journal Name:Sensors
Publisher:MDPI
ISSN:1424-8220
ISSN (Online):1424-8220
Copyright Holders:Copyright © 2018 The Authors
First Published:First published in Sensors 18(12):4443
Publisher Policy:Reproduced under a Creative Commons License

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