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A novel non-invasive blood glucose monitoring approach using saliva

机译:一种利用唾液的新型无创血糖监测方法

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This paper describes a novel non-invasive approach to monitor blood glucose using basic salivary electrochemical parameters. Diabetes is a known systemic disorder which affects the metabolism of the body. Saliva is an oral multiconstituent fluid which reflects changes in the body physiology of diabetic individuals as compared to healthy ones. The various salivary parameters which are taken into consideration in the proposed approach are pH, REDOX potential and conductivity. Saliva and blood samples were collected in fasting state and analyzed for electrochemical parameters. Experimental results greatly move in accordance to blood glucose changes and salivary parameter variations. A predictive mathematical model was made on the salivary parameters to calculate blood glucose value with an acceptable accuracy. The model could predict diabetes qualitatively and quantitatively with an accuracy of 75 % although many challenges still persist in this novel approach.
机译:本文介绍了一种使用基本唾液电化学参数监测血糖的新型无创方法。糖尿病是一种已知的全身性疾病,会影响人体的新陈代谢。唾液是一种口服的多成分液体,反映出与健康个体相比,糖尿病个体的身体生理变化。在所提出的方法中考虑的各种唾液参数是pH,氧化还原电势和电导率。禁食状态下收集唾液和血液样本,并分析其电化学参数。实验结果根据血糖变化和唾液参数变化而大大变化。在唾液参数上建立预测数学模型,以可接受的精度计算血糖值。该模型可以定性和定量地预测糖尿病,准确性为75%,尽管在这种新颖方法中仍然存在许多挑战。

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