Generalization Performance Evaluation of a Blood Glucose Estimation Model Based on Near-Infrared Facial Images with Wavelengths Ranging from 760 nm to 1650 nm

カテゴリ: 論文誌(論文単位)

グループ名: 【C】電子・情報・システム部門

発行日: 2024/08/01

タイトル(英語): Generalization Performance Evaluation of a Blood Glucose Estimation Model Based on Near-Infrared Facial Images with Wavelengths Ranging from 760 nm to 1650 nm

著者名: Mayuko Nakagawa (Aoyama Gakuin University), Kosuke Oiwa (Nagaoka University of Technology), Yasushi Nanai (National Defense Academy), Kent Nagumo (Aoyama Gakuin University), Akio Nozawa (Aoyama Gakuin University)

著者名(英語): Mayuko Nakagawa (Aoyama Gakuin University), Kosuke Oiwa (Nagaoka University of Technology), Yasushi Nanai (National Defense Academy), Kent Nagumo (Aoyama Gakuin University), Akio Nozawa (Aoyama Gakuin University)

キーワード: remote blood glucose estimation，near-infrared band，living body window，facial images，generalization performance evaluation

要約(英語): With the aim of realizing remote blood glucose level measurement, we constructed a model for estimating blood glucose level base on facial images measured in the near-infrared band, which is highly transparent to living tissue. However, the generalization performance of the estimation model was not evaluated in previous studies due to the small number of data. The objective of this study is to construct an individual model and a general model for blood glucose estimation based on facial images measured in the near-infrared broadband wavelength range of 760 nm to 1650 nm, and to evaluate their generalization performance. Independent Component Analysis(ICA) was applied to facial images during blood glucose variations to obtain spatial features of independent components and their weights. Using the standardized weights as explanatory variables and reference blood glucose levels as objective variables, an individual model and a general model for blood glucose estimation were constructed through multiple regression analysis. Cross-validation was applied to evaluate the generalization performance of the models. The results showed that the accuracies of blood glucose estimation in the 760nm to 1100 nm and 1050nm to 1650 nm wavelength bands were 32.23 mg/dL and 36.10 mg/dL in RMSE for the individual model, and 43.02 mg/dL and 43.61 mg/dL for the general model, respectively. The independent components selected for the models were found to have spatial characteristics associated with variations in glucose concentrations in the orbital region and in the vessels on both sides of the nose.

本誌: 電気学会論文誌C（電子・情報・システム部門誌） Vol.144 No.8 （2024） 特集Ⅰ：Smart Cityを支える高度な無線通信，センシング及び情報処理　特集Ⅱ：人と人とを繋ぐ情報・システム技術

本誌掲載ページ: 799-807 p

原稿種別: 論文／英語

電子版へのリンク: https://www.jstage.jst.go.jp/article/ieejeiss/144/8/144_799/_article/-char/ja/