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糖尿病感应:一种非侵入性,多传感器,基于物联网的预诊断系统,用于使用呼吸检测糖尿病

Ritu Kapur¹, Yashwant Kumar¹, Swati Sharma¹

¹Indian Knowledge System and Mental Health Applications Centre, Indian Institute of Technology Mandi, Kamand 175075, Himachal Pradesh, India.

Journal of clinical medicine

|October 28, 2023

概括

一个新的非侵入性设备,DiabeticSense,通过呼吸分析检测糖尿病. 这种负担得起的数字健康工具提供了86.6%的准确性,改善了对更好的糖尿病管理的监测遵守.

科学领域:

生物医学工程生物医学工程
医学诊断医学诊断医学诊断
数字健康数字健康

背景情况:

糖尿病是一种慢性代谢障碍,需要经常监测血糖.
目前的侵入性方法,如指针测试,会引起不适,导致患者的坚持不佳.
需要方便,非侵入性的替代方法来早期检测糖尿病.

研究的目的:

开发DiabeticSense,一种使用呼吸样本检测糖尿病的新型,便携式,非侵入式系统.
创建一个负担得起的数字健康设备,用于早期糖尿病检测和干预.
评估气息挥发性有机化合物 (VOC) 分析用于识别糖尿病疾病的有效性.

主要方法:

设计了一种使用电化学传感器分析呼吸中的VOC的便携式设备.
综合生命体征与传感器电压数据用于糖尿病预测.
在一家医院收集了100名患者的呼吸样本,用于创建数据集.
采用渐变增强分类器模型进行数据处理和交叉验证.

主要成果:

在糖尿病检测方面实现了86.6%的诊断准确度.
与现有的回归技术相比,显示了20.72%的精度提高.
在糖尿病患者和非糖尿病患者之间确定了不同的VOC度模式.

结论:

糖尿病感应系统为初步糖尿病检测提供了一种非侵入性,经济高效和用户友好的方法.
这项技术有可能显著提高患者对定期糖尿病监测的坚持.
呼吸分析为开发先进的,以患者为中心的代谢障碍诊断工具提供了一个有希望的途径.

关键词:

生物标记物生物标记物血糖监测监测血糖的情况糖尿病糖尿病患者糖尿病患者糖尿病测试糖尿病测试测试数字健康设备是指数字健康设备.呼出的呼吸分析.这是一种非侵入性的非侵入性治疗方法.挥发性有机化合物挥发性有机化合物

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