Diabetes is a metabolic disease that affects the ability of the body to process blood glucose, otherwise known as blood sugar. Diabetes occurs when the body produces minimal or no insulin. The diabetes patients check their glycaemic index after each meal and intake medicine to control glycaemic index. Traditionally, glycaemic index estimates the glucometer by acquiring blood sample. In this paper, we propose a noninvasive method to estimate glycaemic index from the pancreas. The magnetic signal from the pancreas acquires with Giant Magneto Resistance (GMR) sensor for glycaemic index estimation. The GMR acquired pancreatic magnetic signal process with Multi Synchro Squeezing Transform (MSST) for feature extraction. The MSST analysis shows significant changes in instantaneous frequency of the pancreas biomagnetic signal before and after meal consumption. The signal statistical parameters help to predict glycaemic index via regression modelling. The proposed method estimates glycaemic index with 88% accuracy.

中文翻译：

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使用GMR传感器检测胰腺中的胰岛素分泌来测定血糖指数（GI）

糖尿病是一种代谢性疾病，会影响人体处理血糖（也称为血糖）的能力。当人体产生很少或不产生胰岛素时，就会发生糖尿病。糖尿病患者每餐后检查其血糖指数并摄入药物以控制血糖指数。传统上，血糖指数通过获取血液样本来估算血糖仪。在本文中，我们提出了一种非侵入性的方法来评估胰腺的血糖指数。来自胰腺的磁信号通过巨磁阻（GMR）传感器获取，用于评估血糖指数。GMR通过多同步压缩变换（MSST）采集了胰腺磁信号，用于特征提取。MSST分析显示进餐前后胰腺生物磁信号的瞬时频率有显着变化。信号统计参数有助于通过回归建模预测血糖指数。所提出的方法以88％的准确性估算血糖指数。