Non-invasive glucose measurement based on ultrasonic transducer and near IR spectrometer

Yanan Gao, Yukino Yamaoka, Yoshimitsu Nagao, Jiang Liu, Shigeru Shimamoto

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

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.

Original languageEnglish
Title of host publicationMobile and Wireless Technology 2018 - International Conference on Mobile and Wireless Technology ICMWT 2018
PublisherSpringer-Verlag
Pages33-40
Number of pages8
ISBN (Print)9789811310584
DOIs
Publication statusPublished - 2019 Jan 1
EventInternational Conference on Mobile and Wireless Technology, ICMWT 2018 - Kowloon, Hong Kong
Duration: 2018 Jun 252018 Jun 27

Publication series

NameLecture Notes in Electrical Engineering
Volume513
ISSN (Print)1876-1100
ISSN (Electronic)1876-1119

Other

OtherInternational Conference on Mobile and Wireless Technology, ICMWT 2018
CountryHong Kong
CityKowloon
Period18/6/2518/6/27

Keywords

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

ASJC Scopus subject areas

  • Industrial and Manufacturing Engineering

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  • Cite this

    Gao, Y., Yamaoka, Y., Nagao, Y., Liu, J., & Shimamoto, S. (2019). Non-invasive glucose measurement based on ultrasonic transducer and near IR spectrometer. In Mobile and Wireless Technology 2018 - International Conference on Mobile and Wireless Technology ICMWT 2018 (pp. 33-40). (Lecture Notes in Electrical Engineering; Vol. 513). Springer-Verlag. https://doi.org/10.1007/978-981-13-1059-1_3