Design and Development of a Non-invasive Glucometer System

Abiodun O. Ogunsanya, Deborah O. Daramola
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引用次数: 3

Abstract

The outbreak of Covid-19 disease has caused issues in public health, and its impact has grown in population with non-communicable diseases like diabetes, a life-threatening condition, worldwide. Individuals in low-income countries with limited diagnosis and monitoring systems require continuous and regular blood glucose monitoring. Invasive or minimally invasive blood glucose monitoring has been utilised with good accuracy but a high risk of infections and complications. Non-invasive monitoring technology is critical and recommended worldwide, with the potential of improving safety and reducing workload in blood glucose control. The design, development, and evaluation analysis of a non-invasive GSM (Glucose Screening Measurement) module glucometer using near-infrared sensors at 1550nm wavelength as an emitter, transmitting through the fingertip and the ATMega38 microcontroller as the controller to determine the glucose level in human blood are presented in this study. A total of forty individuals were recruited in the investigation. Repeatability, validity, and reliability were evaluated using the Bland and Altman Analysis, the concurrent validity, and the reliability analysis. Passing and Boblok Regression Analysis was used to assess the statistical significance further. Repeatability showed no significant difference with a 95% confidence interval and 0.6895 bias. The linear relationship showed 99.72% agreement and 99.9% reliability using regression analysis. This study revealed that using a non-invasive GSM module glucometer to measure blood glucose effectively enhances patient surveillance in diabetes insulin treatment.
无创血糖仪系统的设计与开发
2019冠状病毒病的爆发造成了公共卫生问题,其对全球糖尿病等非传染性疾病患者的影响越来越大,这是一种危及生命的疾病。诊断和监测系统有限的低收入国家的个人需要持续和定期的血糖监测。侵入性或微创性血糖监测具有良好的准确性,但感染和并发症的风险很高。无创监测技术是至关重要的,并在全球范围内得到推荐,具有提高安全性和减少血糖控制工作量的潜力。本文介绍了一种非侵入式GSM(葡萄糖筛选测量)模块血糖仪的设计、开发和评估分析,该血糖仪采用1550nm波长的近红外传感器作为发射器,通过指尖传输,ATMega38微控制器作为控制器,用于测定人体血液中的葡萄糖水平。调查共招募了40人。使用Bland和Altman分析、并发效度和信度分析评估可重复性、效度和信度。采用Passing回归分析和Boblok回归分析进一步评价统计学显著性。重复性无显著差异,95%置信区间和0.6895偏差。回归分析表明,线性关系的一致性为99.72%,信度为99.9%。本研究表明,使用无创GSM模块血糖仪测量血糖有效地提高了糖尿病胰岛素治疗患者的监测。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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