Why the study?
Most respiratory activity detection methods rely on invasive technology, while traditional non-invasive methods require special hardware that cannot be used in ordinary environments.
A novel C-band sensing MIMO-OFDM system offers a robust, non-invasive method for detecting human respiratory activity across different postures without requiring special hardware.
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.
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Guan et al. (2018) studied Respiratory activity. MIMO-OFDM system based on 802.11n protocol vs. Traditional non-invasive detection methods was evaluated on Respiratory activity detection and bit relative error.
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