• Chinese Journal of Lasers
  • Vol. 49, Issue 4, 0406004 (2022)
Yuhuan Li1, Yong Chen1、*, Huanlin Liu2, and Tao Jiang1
Author Affiliations
  • 1Key Laboratory of Industrial Internet of Things & Network Control, Ministry of Education, Chongqing University of Posts and Telecommunications, Chongqing 400065, China
  • 2Shool of Communication and Information Engineering, Chongqing University of Posts and Telecommunications, Chongqing 400065, China
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    DOI: 10.3788/CJL202249.0406004 Cite this Article Set citation alerts
    Yuhuan Li, Yong Chen, Huanlin Liu, Tao Jiang. Respiration and Heartbeat Signal Acquisition Method Based on Fiber Optic Sensing[J]. Chinese Journal of Lasers, 2022, 49(4): 0406004 Copy Citation Text show less
    Block diagram of acquisition method
    Fig. 1. Block diagram of acquisition method
    Simplified structure of testing platform
    Fig. 2. Simplified structure of testing platform
    Performance of improved threshold function
    Fig. 3. Performance of improved threshold function
    Denoising principle of VMD-IWT
    Fig. 4. Denoising principle of VMD-IWT
    Motion artifact in signal
    Fig. 5. Motion artifact in signal
    Simulated signals. (a) Pure signal; (b) signal after adding 5 dB Gaussian white noise; (c) signal after adding 15 dB Gaussian white noise; (d) signal after adding 25 dB Gaussian white noise
    Fig. 6. Simulated signals. (a) Pure signal; (b) signal after adding 5 dB Gaussian white noise; (c) signal after adding 15 dB Gaussian white noise; (d) signal after adding 25 dB Gaussian white noise
    Comparison chart of each evaluation metric. (a) SNR metric; (b) RMSE metric; (c) PRD metric
    Fig. 7. Comparison chart of each evaluation metric. (a) SNR metric; (b) RMSE metric; (c) PRD metric
    Respiration and heartbeat signal acquisition experiment
    Fig. 8. Respiration and heartbeat signal acquisition experiment
    Respiration and heartbeat mixed signal
    Fig. 9. Respiration and heartbeat mixed signal
    Component diagrams of VMD
    Fig. 10. Component diagrams of VMD
    Effect plots of each algorithm after denoising. (a) EEMD algorithm; (b) CEEMDAN algorithm; (c) EMD-ICA algorithm; (d) proposed method
    Fig. 11. Effect plots of each algorithm after denoising. (a) EEMD algorithm; (b) CEEMDAN algorithm; (c) EMD-ICA algorithm; (d) proposed method
    Detailed plots of signals. (a) EEMD algorithm; (b) CEEMDAN algorithm; (c) EMD-ICA algorithm; (d) proposed method
    Fig. 12. Detailed plots of signals. (a) EEMD algorithm; (b) CEEMDAN algorithm; (c) EMD-ICA algorithm; (d) proposed method
    Signal separation and frequency calculation. (a) Original signal; (b) denoised signal; (c) respiratory signal; (d) respiratory spectrogram; (e) heartbeat signal; (f) heartbeat spectrogram
    Fig. 13. Signal separation and frequency calculation. (a) Original signal; (b) denoised signal; (c) respiratory signal; (d) respiratory spectrogram; (e) heartbeat signal; (f) heartbeat spectrogram
    IMF componentCorrelation coefficient
    I10.7905
    I20.6771
    I30.0250
    I40.0228
    I50.0246
    I60.0234
    I70.0227
    Table 1. Calculation results of correlation coefficients of simulated signal
    Input noise /dBEEMDCEEMDANEMD-ICAOurs
    59.885613.311210.090515.8232
    1015.110219.826215.38320.1452
    1520.261125.750817.06927.9937
    2023.922928.410818.212829.4352
    2528.816529.328818.639630.2870
    Table 2. Calculation results of SNR
    Input noise /dBEEMDCEEMDANEMD-ICAOurs
    52.71971.83332.65631.3729
    101.49040.86591.44430.8347
    150.82370.43781.18950.3382
    200.54030.32231.04270.2864
    250.30760.29000.99270.2597
    Table 3. Calculation results of RMSE
    Input noise /dBEEMDCEEMDANEMD-ICAOurs
    532.041921.599331.294916.1748
    1017.558610.202117.01579.8342
    159.70385.157814.013373.9839
    206.36583.797212.28463.3747
    253.62393.416311.69563.0595
    Table 4. Calculation results of PRD
    IMF componentCorrelation coefficient
    I10.9853
    I20.2143
    I30.0702
    I40.0564
    I50.0337
    I60.0247
    I70.0079
    I80.0056
    I90.0053
    I100.0049
    I110.0046
    Table 5. Calculation results of correlation coefficients of acquisition signal
    SubjectRHRRBR
    Calculation value /( beat·min-1)Reference value /( beat·min-1)Error /%Calculation value /( beat·min-1)Reference value /( beat·min-1)Error /( beat·min-1)
    168702.8623221
    270711.4113121
    362654.6220200
    488827.3218180
    573808.7514140
    662631.5916160
    Table 6. Calculation results of respiration and heart rate
    Yuhuan Li, Yong Chen, Huanlin Liu, Tao Jiang. Respiration and Heartbeat Signal Acquisition Method Based on Fiber Optic Sensing[J]. Chinese Journal of Lasers, 2022, 49(4): 0406004
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