Acta Optica Sinica, Volume. 40, Issue 6, 0636001(2020)
Phantom Experimental Verification of Non-invasive Blood Glucose Measurement Based on Visible Image
Non-invasive blood glucose detection based on optical measurement is a research hotspot in the biomedical field at present. However, due to the problems of low signal-to-noise ratio, background noise interference and low accuracy, the non-invasive blood glucose detection method is still in the experimental stage and cannot be applied in clinical practice. To solve these problems, a non-invasive blood glucose detection method based on visible image is proposed. By using the collected scattering images and the gradient boosting decision tree algorithm, the regression model of the relationship between the characteristic parameters of the scattering images and the blood glucose concentration is established, and the accuracy of the model is verified by the phantom experiment. Experimental results show that the relationship between visible scattering images and glucose concentration can be modeled by the gradient boosting regression model, with a consistency determination coefficient up to 0.929 and an average absolute error of glucose detection accuracy of 0.156 g·L -1.
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Fen Li, Yuejin Zhao, Lingqin Kong, Ming Liu, Liquan Dong, Mei Hui, Xiaohua Liu. Phantom Experimental Verification of Non-invasive Blood Glucose Measurement Based on Visible Image[J]. Acta Optica Sinica, 2020, 40(6): 0636001
Category: Letters
Received: Oct. 30, 2019
Accepted: Jan. 19, 2020
Published Online: Mar. 6, 2020
The Author Email: Zhao Yuejin (yjzhao@bit.edu.cn)