Noninvasive Optical Diagnostic Techniques for Mobile Blood Glucose and Bilirubin Monitoring.
Noninvasive Optical Diagnostic Techniques for Mobile Blood Glucose and Bilirubin Monitoring.
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DOI：
10.4103/jmss.jmss_8_18
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发表时间：
2018-07
影响因子：
--
通讯作者：
Zakeri FS
中科院分区：
文献类型：
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作者：
Javid B;Fotouhi-Ghazvini F;Zakeri FS
糖尿病患者需要不断监测血糖水平，并定期到健康中心进行检查。本研究的目的是提供一个移动的血糖和胆红素监测的医疗系统。它包括一个传感器，分别使用近红外光谱和光学方法进行无创血糖和胆红素测量，与智能手机通信。观察到，通过增加葡萄糖浓度，传感器的输出电压在透射模式下增加，在反射模式下减小。此外，还观察到，随着胆红素浓度的增加，传感器的输出电压在透射模式下减小，而在反射模式下增大。在所收集的数据中，电压与浓度之间具有良好的相关性，它们之间的关系近似线性。因此，有可能使用非侵入性方法来预测葡萄糖或胆红素浓度。在训练阶段对19人进行了葡萄糖体内实验，并使用5人对模型进行了测试。将葡萄糖行为模型构建到移动的应用程序中。从透射和反射模式获得平均葡萄糖浓度。平均百分比误差为8.27，均方根误差为18.52 mg/dL。从这项研究可以推断，在无线传感器和智能手机上实现的无创光学方法可以形成一个系统，可以在未来的任何时间和任何地点使用，作为传统的有创血糖和胆红素测量方法的替代方案。
People with diabetes need to monitor their blood sugar levels constantly and attend health centers regularly for checkups. The aim of this study is to provide a healthcare system for mobile blood glucose and bilirubin monitoring. It includes a sensor for noninvasive blood glucose and bilirubin measurement using near-infrared spectroscopy and optical method, respectively, communicating with a smartphone. It was observed that by increasing the glucose concentration, the output voltage of the sensor increases in transmittance mode and decreases in reflectance mode. Moreover, it was observed that by increasing the bilirubin concentration, the output voltage of sensor decreases in transmittance mode and increases in reflectance mode. In the collected data there was good correlations between voltage and concentration and their relationship were approximately linear. Therefore, it is possible to use noninvasive methods to predict the glucose or bilirubin concentration. In vivo experiments for glucose were carried out with 19 persons in training phase, and five persons were used for testing the model. The glucose behavior model was built into the mobile application. The average glucose concentrations from the transmittance and reflectance mode were obtained. The average percentage error was 8.27 and root mean square error was 18.52 mg/dL. From this research, it can be inferred that the noninvasive optical methods implemented on wireless sensors and smartphones could form a system that can be used at any time and any place in the future as an alternative to traditional invasive blood glucose and bilirubin measurement methods.