Generalization Performance Evaluation of a Blood Glucose Estimation Model Based on Near-Infrared Facial Images with Wavelengths Ranging from 760 nm to 1650 nm
Author:
Affiliation:
1. Aoyama Gakuin University
2. Nagaoka University of Technology
3. National Defense Academy
Publisher
Institute of Electrical Engineers of Japan (IEE Japan)
Link
https://www.jstage.jst.go.jp/article/ieejeiss/144/8/144_799/_pdf
Reference17 articles.
1. (1) Y. Uwadaira, N. Adachi, A. Ikehata, and S. Kawano: “Development of a non-invasive blood glucose sensor using short-wavelength near-infrared spectroscopy and its application to glycemic index determination”, Nippon Shokuhin Kagaku Kogaku Kaishi, Vol. 58, No. 3, pp. 97-104 (2011) (In Japanese)
2. (2) M. S. Soares, M. Vidal, N. F. Santos, F. M. Costa, C. Marques, S. O. Pereira, C. Leitão: “Immunosensing Based on Optical Fiber Technology: Recent Advances”, Biosensors, Vol. 11, No. 9, p. 305 (2021)
3. (3) G. Li, Q. Xu, R. Singh, W. Zhang, C. Marques, Y. Xie, B. Zhang, and S. Kumar: “Graphene Oxide/Multiwalled Carbon Nanotubes Assisted Serial Quadruple Tapered Structure-Based LSPR Sensor for Glucose Detection”, IEEE Sensors Journal, Vol. 22, No. 17, pp. 16904-16911 (2022)
4. (4) Y. Iwashita, K. Nagumo, K. Oiwa, and A. Nozawa: “Estimation of resting blood pressure using facial thermal images by separating acute stress variations”, Artificial Life and Robotics, No. 26, pp. 473-480 (2021)
5. (5) K. Oiwa, Y. Ozawa, K. Nagumo, S. Nishimura, Y. Nanai, and A. Nozawa: “Remote blood pressure sensing using near-infrared wideband LEDs”, IEEE Sensors Journal, Vol. 21, Iss. 21, pp. 24327-24337 (2021)
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