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.
Highlights
The human body respiratory system is sensitive and respiratory activity parameters of the human body are important indicators of vital signs
Non-contact respiration detection technology measures the respiratory parameters of living organisms without touching the living body to provides a non-invasive, convenient, and more suitable detection means for respiratory activity detection, and to provide the possibility of detecting physiological signal features in special occasions [4]
We considered it inappropriate to use traditional filters to remove the high frequency noise contained in channel frequency response (CFR)
Summary
The human body respiratory system is sensitive and respiratory activity parameters of the human body are important indicators of vital signs. Non-contact respiration detection technology measures the respiratory parameters of living organisms without touching the living body to provides a non-invasive, convenient, and more suitable detection means for respiratory activity detection, and to provide the possibility of detecting physiological signal features in special occasions [4]. Ultrasonic and electromagnetic waves use the Doppler principle to retrieve non-contact signal information, which detects the existence of and provides information about the respiratory activities of living bodies [5,6,7]. Sensors 2018, 18, x FOR PEER REVIEW waves use the Doppler principle to retrieve non-contact signal information, which detects the existence of and provides information about the respiratory activities of living bodies [5,6,7].
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