Feasibility in the use of the UV-Visible region for the characterization of glucose in deionized water using Arduino 1

V. Sánchez-Monroy, Luis Enrique Barros-Martinez, Alejandro Hidalgo-Pedraza, Braulio Adriel Mendoza-Munguia, Miguel Sanchez-Brito
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Abstract

With an estimated approximately 2 million deaths per year, diabetes is one of the top 5 deadliest noncommunicable diseases globally. Although this disease is not fatal, the degradation of the patient's health due to a bad plan to control their glucose levels can have a fatal outcome. In order to lay the foundations for the development of a device that allows estimating glucose levels in some body fluid, we present the results obtained not only for the estimation of glucose in deionized water, but also describe the development and configuration of the created device. After analyzing 50 signals obtained from 5 different glucose concentrations, the feasibility of using the developed device for the analysis is evident, since, considering the K-Nearest Neighbors (KNN) algorithm, all the signals were associated correctly to the glucose group to which they belong.
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利用Arduino 1利用紫外可见区表征去离子水中葡萄糖的可行性
据估计,每年约有200万人死亡,糖尿病是全球五大最致命的非传染性疾病之一。尽管这种疾病并不致命,但由于控制血糖水平的不良计划导致患者健康状况恶化可能会导致致命的后果。为了为开发一种可以估计某些体液中葡萄糖水平的设备奠定基础,我们不仅介绍了估计去离子水中葡萄糖的结果,还描述了所创建设备的开发和配置。在分析了从5种不同葡萄糖浓度获得的50个信号后,使用所开发的设备进行分析的可行性是显而易见的,因为考虑到K近邻(KNN)算法,所有信号都与它们所属的葡萄糖组正确关联。
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来源期刊
Revista Mexicana de Ingenieria Biomedica
Revista Mexicana de Ingenieria Biomedica Engineering-Biomedical Engineering
CiteScore
0.60
自引率
0.00%
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期刊介绍: La Revista Mexicana de Ingeniería Biomédica (The Mexican Journal of Biomedical Engineering, RMIB, for its Spanish acronym) is a publication oriented to the dissemination of papers of the Mexican and international scientific community whose lines of research are aligned to the improvement of the quality of life through engineering techniques. The papers that are considered for being published in the RMIB must be original, unpublished, and first rate, and they can cover the areas of Medical Instrumentation, Biomedical Signals, Medical Information Technology, Biomaterials, Clinical Engineering, Physiological Models, and Medical Imaging as well as lines of research related to various branches of engineering applied to the health sciences.
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