The determination of blood glucose is usually performed in the laboratory or using invasive glucose meters. Unusual, fruity, or bad breath odor can be a sign of metabolic disease. The objective is the estimation of the blood glucose by breath analysis. To do that, we designed a three‐gas prediction model (alcohol, acetone, and propane). We exhaled in front of the three gas sensors and then recorded the concentrations of the three volatile organic compounds (VOCs) in a database. This database included the measurements of 200 volunteer people. We then systematically studied the correlation between the glucose level obtained by blood analysis and each of these three gases. We also studied the different possible combinations of two and three gases. The best correlation was obtained for the non‐diabetic subjects with a correlation coefficient (r = 0.97), for the diabetic subjects (r = 0.35). We implemented these two linear regressions and we used the validation set to estimate the accuracy of the prototype. For the non‐diabetic subjects, the relative error of the measurement of the glycemia was equal to 3.93%. For the diabetic subjects, the error = 13.42%. The results have shown that the determination of glycemia by breath analysis can become a serious alternative. © 2020 Institute of Electrical Engineers of Japan. Published by Wiley Periodicals LLC.

中文翻译：

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通过呼吸分析无创测量血糖

血糖的测定通常在实验室或使用侵入式血糖仪进行。异常，果味或口臭可能是代谢疾病的迹象。目的是通过呼吸分析估计血糖。为此，我们设计了一种三气预测模型（酒精，丙酮和丙烷）。我们在三个气体传感器前呼气，然后在数据库中记录了三种挥发性有机化合物（VOC）的浓度。该数据库包括对200名志愿者的测量。然后，我们系统地研究了通过血液分析获得的葡萄糖水平与这三种气体各自之间的相关性。我们还研究了两种和三种气体的不同可能组合。对于非糖尿病受试者，其最佳相关系数为（r  = 0.97），对于糖尿病患者（r  = 0.35）。我们实现了这两个线性回归，并使用验证集来估计原型的准确性。对于非糖尿病受试者，血糖测量的相对误差等于3.93％。对于糖尿病受试者，误差＝ 13.42％。结果表明，通过呼吸分析确定血糖可以成为一种重要的选择。©2020日本电气工程师学会。由Wiley Periodicals LLC发布。