• Acta Photonica Sinica
  • Vol. 49, Issue 12, 51 (2020)
Bao-cun FAN, Yan WANG, Chen-chen HUANG, Zi-yang GE, and Ping JIN
Author Affiliations
  • School of Electrical and Information Engineering,Anhui University of Technology,Maanshan, Anhui243000,China
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    DOI: 10.3788/gzxb20204912.1206003 Cite this Article
    Bao-cun FAN, Yan WANG, Chen-chen HUANG, Zi-yang GE, Ping JIN. Pulse Wave Signal Feature Recognition Based on Time-domain Differential Period Ratio[J]. Acta Photonica Sinica, 2020, 49(12): 51 Copy Citation Text show less
    FBG pulse wave sensor packaging and acquisition
    Fig. 1. FBG pulse wave sensor packaging and acquisition
    EMD decomposition result
    Fig. 2. EMD decomposition result
    Pulse wave preprocessing effect diagram
    Fig. 3. Pulse wave preprocessing effect diagram
    Pulse wave signal feature division
    Fig. 4. Pulse wave signal feature division
    Feature extraction algorithm flowchart
    Fig. 5. Feature extraction algorithm flowchart
    Different types of pulse waves
    Fig. 6. Different types of pulse waves
    Different types of pulse wave recognition
    Fig. 7. Different types of pulse wave recognition
    Results of pulse wave feature extraction in resting state
    Fig. 8. Results of pulse wave feature extraction in resting state
    Feature extraction and results of pulse wave under exercise
    Fig. 9. Feature extraction and results of pulse wave under exercise
    Resting stateMotion state
    Tide waveDicrotic waveTide waveDicrotic wave
    MinMaxMinMaxMean T1MinMaxMinMaxMean T1
    Tester 10.0210.2770.2140.4786370.0700.3160.2840.751400
    Tester 20.0290.2200.2600.4686740.0530.2990.2760.619440
    Tester 30.0310.2210.2680.4936420.0620.3120.2700.604415
    Tester 40.0240.2070.1850.3337110.0630.2910.2250.638419
    Tester 50.0310.1970.2520.4587090.0660.3040.2230.562441
    Tester 60.0230.1830.1850.3877760.0430.2440.3030.499543
    Tester 70.0190.1840.2590.3987590.0310.2570.3020.514506
    Table 1. The relative position of tidal wave and dicrotic wave in T1 cycle under different conditions
    Feature points

    TDDR

    method

    Ref. [5] methodRef. [6] method
    b100100100
    c100100100
    d98.2851.6589.82
    e97.2552.1392.59
    f98.1473.6092.18
    g99.1974.5894.29
    Table 2. Accuracy of feature point positioning in resting state (%)
    Feature points

    TDDR

    method

    Ref. [5] methodRef. [6] method
    b100100100
    c100100100
    d94.2339.3286.67
    e90.7742.8785.89
    f91.9381.5489.33
    g95.3882.3791.24
    Table 3. Accuracy of feature point positioning under motion (%)
    Bao-cun FAN, Yan WANG, Chen-chen HUANG, Zi-yang GE, Ping JIN. Pulse Wave Signal Feature Recognition Based on Time-domain Differential Period Ratio[J]. Acta Photonica Sinica, 2020, 49(12): 51
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