Non-invasive Glucose Measurement Based on Ultrasonic Transducer and Near IR Spectrometer

  • Yanan GaoEmail author
  • Yukino Yamaoka
  • Yoshimitsu Nagao
  • Jiang Liu
  • Shigeru Shimamoto
Conference paper
Part of the Lecture Notes in Electrical Engineering book series (LNEE, volume 513)


This paper studies a noninvasive method to measure glucose level based on ultrasonic transducer and near infrared spectrometer. A series pair data of ultrasonic transducer from human finger, palm, wrist and arm are collected six times a day, and 16 spectral data of NIR spectrometer (reflection) from finger are collected by an OGTT experiment. The collected data are calibrated by using partial least squares regression and feed-forward back-propagation artificial neural network to predict the glucose level. In this study, error grid analysis is used to validate the prediction performance. In addition, the accuracy of the calibration models is improved.


Glucose measurement Non-invasive Ultrasonic transducer Near infrared spectrometer PLSR BP-ANN 


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Copyright information

© Springer Nature Singapore Pte Ltd. 2019

Authors and Affiliations

  • Yanan Gao
    • 1
    Email author
  • Yukino Yamaoka
    • 1
  • Yoshimitsu Nagao
    • 1
  • Jiang Liu
    • 1
  • Shigeru Shimamoto
    • 1
  1. 1.Waseda UniversityTokyoJapan

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