Opto-Electronic Engineering, Volume. 52, Issue 4, 250022(2025)

Analysis method of fiber grating neck pulse monitoring device

Xiyan Yan1,2, Yan Feng1,2、*, and Hua Zhang1,2
Author Affiliations
  • 1Robotics Institute, School of Mechanical and Automotive Engineering, Shanghai University of Engineering Science, Shanghai 201620, China
  • 2Shanghai Large-Scale Component Intelligent Manufacturing Robot Technology Collaborative Innovation Center, Shanghai 201620, China
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    Figures & Tables(16)
    Working principle diagram of the fiber grating sensor
    Neck pulse monitoring device. (a) Schematic; (b) Bridge strain amplification structure; (c) Force analysis
    Pulse wave signal feature division
    Simulation results of neck monitoring device. (a) Sensing unit; (b) Force transfer structure
    Force calibration of neck monitoring device. (a) Calibration test bench; (b) Calibration of sensing unit; (c) Calibration experimental data analysis
    Temperature control experiment. (a) Experimental platform; (b) Experimental data
    Aging test. (a) Temperature aging data. (b) Force aging data
    Experimental data of signal attenuation
    Experimental platform of neck pulse monitoring device
    Monitoring data. (a) Volunteer 1 sit; (b) Volunteer 1 lies in supine position; (c) Volunteer 2 sit; (d) Volunteer 2 lies in supine position
    First full cycle of resting, exercise, and vigorous exercise state. (a) Volunteer 1 sit; (b) Volunteer 1 lies in supine position; (c) Volunteer 2 sit; (d) Volunteer 2 lies in supine position
    Frequency comparison of resting, exercise, and vigorous exercise states. (a) Volunteer 1 sit; (b) Volunteer 1 lies in supine position; (c) Volunteer 2 sit; (d) Volunteer 2 lies in supine position
    Correlation analysis of resting, exercise, and vigorous exercise state in each cycle. (a) Volunteer 1 sit; (b) Volunteer 1 lies in supine position; (c) Volunteer 2 sit; (d) Volunteer 2 lies in supine position
    Random forest error and decision tree number analysis of resting, exercise and vigorous exercise states. (a) Volunteer 1 sit;(b) Volunteer 1 lies in supine position; (c) Volunteer 2 sit; (d) Volunteer 2 lies in supine position
    • Table 1. Monitoring device-bracelet - oximeter pulse monitoring comparison data

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      Table 1. Monitoring device-bracelet - oximeter pulse monitoring comparison data

      VolunteerPostureStateFrequency/(times/min)Ws/%Wx/%
      Monitoring deviceWristbandOximeter
      Volunteer 1SitResting6673729.586.69
      Exercise9699913.035.50
      Vigorous exercise1201191170.832.56
      SupineResting6971722.824.17
      Exercise9693913.235.50
      Vigorous exercise1261181226.783.28
      Volunteer 2SitResting7274752.704.00
      Exercise9991928.797.61
      Vigorous exercise1261211184.136.78
      SupineResting7270762.865.26
      Exercise10294948.518.51
      Vigorous exercise1291231214.886.61
    • Table 2. Evaluation indicators of resting, exercise, and vigorous exercise states

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      Table 2. Evaluation indicators of resting, exercise, and vigorous exercise states

      PostureDatasetIndexRestingExerciseVigorous exercise
      Volume 1 sitTraining setMAE0.46690.46310.4900
      MBE-0.00210.00040.0033
      RMSE0.45890.43250.4711
      Prediction setMAE0.46710.46940.4993
      MBE0.00120.00090.0026
      RMSE0.46260.42560.4692
      Volume 1 lies in supine positionTraining setMAE0.47870.44970.4735
      MBE−0.00150.00410.0002
      RMSE0.48710.48060.4838
      Prediction setMAE0.48780.44780.4809
      MBE−0.0022−0.0011−0.0013
      RMSE0.48170.48030.4823
      Volume 2 sitTraining setMAE0.48660.47420.4844
      MBE−0.0031−0.0016−0.0033
      RMSE0.47890.48540.4857
      Prediction setMAE0.49270.46160.4856
      MBE0.0011−0.03480.0015
      RMSE0.48190.47770.4801
      Volume 2 lies in supine positionTraining setMAE0.47120.48470.4685
      MBE0.0038−0.00160.0012
      RMSE0.48150.48760.4883
      Prediction setMAE0.47390.48040.4692
      MBE0.00120.0011−0.0019
      RMSE0.49050.49160.4811
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    Xiyan Yan, Yan Feng, Hua Zhang. Analysis method of fiber grating neck pulse monitoring device[J]. Opto-Electronic Engineering, 2025, 52(4): 250022

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    Paper Information

    Category: Article

    Received: Feb. 3, 2025

    Accepted: Mar. 4, 2025

    Published Online: Jun. 11, 2025

    The Author Email: Yan Feng (冯艳)

    DOI:10.12086/oee.2025.250022

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