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

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

doi:10.1007/978-981-13-1059-1_3

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

国際理工学センター（理工学術院）

研究成果: Conference contribution

1 被引用数 (Scopus)

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	https://doi.org/10.1007/978-981-13-1059-1_3
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 25 → 2018 6月 27

出版物シリーズ

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

Other

Other	International Conference on Mobile and Wireless Technology, ICMWT 2018
国/地域	Hong Kong
City	Kowloon
Period	18/6/25 → 18/6/27

ASJC Scopus subject areas

産業および生産工学

文献へのアクセス

10.1007/978-981-13-1059-1_3

他のファイルとリンク

引用スタイル

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

Non-invasive glucose measurement based on ultrasonic transducer and near IR spectrometer. / Gao, Yanan; Yamaoka, Yukino; Nagao, Yoshimitsu その他.
Mobile and Wireless Technology 2018 - International Conference on Mobile and Wireless Technology ICMWT 2018. Springer-Verlag, 2019. p. 33-40 (Lecture Notes in Electrical Engineering; Vol. 513).

研究成果: Conference contribution

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. Lecture Notes in Electrical Engineering, vol. 513, Springer-Verlag, pp. 33-40, International Conference on Mobile and Wireless Technology, ICMWT 2018, Kowloon, Hong Kong, 18/6/25. https://doi.org/10.1007/978-981-13-1059-1_3

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title = "Non-invasive glucose measurement based on ultrasonic transducer and near IR spectrometer",

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.",

keywords = "BP-ANN, Glucose measurement, Near infrared spectrometer, Non-invasive, PLSR, Ultrasonic transducer",

author = "Yanan Gao and Yukino Yamaoka and Yoshimitsu Nagao and Jiang Liu and Shigeru Shimamoto",

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AU - Gao, Yanan

AU - Yamaoka, Yukino

AU - Nagao, Yoshimitsu

AU - Liu, Jiang

AU - Shimamoto, Shigeru

PY - 2019/1/1

Y1 - 2019/1/1

N2 - 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.

AB - 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.

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KW - Glucose measurement

KW - Near infrared spectrometer

KW - Non-invasive

KW - PLSR

KW - Ultrasonic transducer

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T3 - Lecture Notes in Electrical Engineering

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BT - Mobile and Wireless Technology 2018 - International Conference on Mobile and Wireless Technology ICMWT 2018

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

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