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

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

*この研究の対応する著者

研究成果: Conference contribution

抄録

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.

本文言語English
ホスト出版物のタイトルMobile and Wireless Technology 2018 - International Conference on Mobile and Wireless Technology ICMWT 2018
出版社Springer-Verlag
ページ33-40
ページ数8
ISBN(印刷版)9789811310584
DOI
出版ステータスPublished - 2019 1月 1
イベントInternational Conference on Mobile and Wireless Technology, ICMWT 2018 - Kowloon, Hong Kong
継続期間: 2018 6月 252018 6月 27

出版物シリーズ

名前Lecture Notes in Electrical Engineering
513
ISSN(印刷版)1876-1100
ISSN(電子版)1876-1119

Other

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

ASJC Scopus subject areas

  • 産業および生産工学

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