Spectroscopy and Spectral Analysis, Volume. 41, Issue 8, 2378(2021)

Determination of New Non-Invasive Blood Glucose Detection Method Based on Spectral Decomposition

Jian-hong CHEN*, Zhi-qiang LIN, and Chao-yue SUN
Author Affiliations
  • Faculty of Mechanical and Precision Instrument Engineering, Xi’an University of Technology, Xi’an 710048, China
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    Figures & Tables(8)
    The waveform characteristics of PPG signala: Systolic peak; b: Tidal notch; c: Dicrotic peak; d: Dicrotic notch
    The wavelet coefficients of PPG signal at various scales after CWT decomposition
    The frequency spectrum of wavelet coefficients in PPG signal after CWT
    The changes of volunteer’s blood glucose level
    The changes of the amplitude of the spectral component of volunteer’s PPG signal
    The flow chart of non-invasive blood glucose detection system
    The Clarke error grid analysis of model(a): Calibration set; (b): Prediction set
    • Table 1. Blood glucose model assessment

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      Table 1. Blood glucose model assessment

      Calibration setPrediction set
      RMSEC/
      (mg·dL-1)
      Correlation
      coefficient Rc
      RMSEP/
      (mg·dL-1)
      Correlation
      coefficient Rp
      12.470.756.220.84
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    Jian-hong CHEN, Zhi-qiang LIN, Chao-yue SUN. Determination of New Non-Invasive Blood Glucose Detection Method Based on Spectral Decomposition[J]. Spectroscopy and Spectral Analysis, 2021, 41(8): 2378

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    Paper Information

    Category: Research Articles

    Received: Aug. 22, 2020

    Accepted: --

    Published Online: Sep. 8, 2021

    The Author Email: CHEN Jian-hong (chenjianhong@xaut.edu.cn)

    DOI:10.3964/j.issn.1000-0593(2021)08-2378-06

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