Noninvasive In-Vivo Estimation of Blood-Glucose Concentration Using Beer-Lambert-Based Model 


Vol. 48,  No. 7, pp. 852-867, Jul.  2023
10.7840/kics.2023.48.7.852


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  Abstract

Noninvasive measurement of blood-glucose concentration can reduce both pain and complications associated with piercing the human fingertip to collect blood. Photoplethysmography (PPG) is a helpful technique that can be used to measure blood-glucose concentration without a blood sample. To facilitate such noninvasive in-vivo estimation, we propose a model based on the Beer-Lambert law for measuring blood-glucose concentration using the PPG signal. Notably, only two wavelengths are used. First, the oxygen saturation (SpO2) is estimated from the ratio of absorbance at two wavelengths, then another absorbance ratio is presented, and the blood-glucose concentration is estimated by substituting the SpO2 estimated earlier to this ratio. The PPG signals from 40 subjects were collected along with their reference blood-glucose concentrations and SpO2 values. The PPG-based blood-glucose concentrations are then calculated using mathematical equations derived from the Beer-Lambert law. A supervised machine learning model, XGBoost, is applied to calibrate the estimation model with the reference values measured using a commercial device; according to our experimental results, the Pearson correlation coefficient (Pearson’s r) value is 0.85. The proposed model based on the Beer-Lambert law thus provides a method for in-vivo estimation of blood glucose in daily applications.

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  Cite this article

[IEEE Style]

C. A. Haque, S. Hossain, T. Kwon, H. Kim, K. Kim, "Noninvasive In-Vivo Estimation of Blood-Glucose Concentration Using Beer-Lambert-Based Model," The Journal of Korean Institute of Communications and Information Sciences, vol. 48, no. 7, pp. 852-867, 2023. DOI: 10.7840/kics.2023.48.7.852.

[ACM Style]

Chowdhury Azimul Haque, Shifat Hossain, Tae-Ho Kwon, Hyoungkeun Kim, and Ki-Doo Kim. 2023. Noninvasive In-Vivo Estimation of Blood-Glucose Concentration Using Beer-Lambert-Based Model. The Journal of Korean Institute of Communications and Information Sciences, 48, 7, (2023), 852-867. DOI: 10.7840/kics.2023.48.7.852.

[KICS Style]

Chowdhury Azimul Haque, Shifat Hossain, Tae-Ho Kwon, Hyoungkeun Kim, Ki-Doo Kim, "Noninvasive In-Vivo Estimation of Blood-Glucose Concentration Using Beer-Lambert-Based Model," The Journal of Korean Institute of Communications and Information Sciences, vol. 48, no. 7, pp. 852-867, 7. 2023. (https://doi.org/10.7840/kics.2023.48.7.852)
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pISSN : 1226 - 4717
eISSN : 2287 - 3880