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Optical based non invasive glucometer with IoT

机译:基于光学的物联网无创血糖仪

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Diabetes mellitus (DM) nicknamed as sugar is becoming one of incurable and critical challenge to medical field. Serious illness such as premature mortality even cause of death, which can be identified by continuous monitoring from a remote location. The traditional and conventional method such as finger pricking's demerits such as pain and damage to tissues that cause infection. Such type of infections can be overcome by non invasive technique. The objective of this paper is to monitor glucose level using non invasive technique by optical and IoT technology. The proposed sensor circuit consists of IR LED's of wavelength 650-2500nm for optical blood glucose measurement and NIR photodiodes (InGaAs) to receive the reflected light from body parts to determine the glucose level. The Beer-Lambert law is used for signal processing along with GSM based IoT real time information transmission. The project is implemented using Arduino IDE for finding the performance matrix of the system as well as various analytical studies.
机译:被称为糖的糖尿病(DM)正成为医学领域不可治愈的关键挑战之一。严重疾病,例如过早死亡甚至是死亡原因,可以通过从远程位置进行连续监视来识别。传统的和传统的方法(例如刺破手指)的缺点是疼痛和对导致感染的组织的损害。这种类型的感染可以通过非侵入性技术来克服。本文的目的是通过光学和物联网技术使用无创技术监测葡萄糖水平。拟议的传感器电路包括用于光学血糖测量的波长650-2500nm的IR LED和用于接收人体部位反射光以确定葡萄糖水平的NIR光电二极管(InGaAs)。 Beer-Lambert定律与基于GSM的IoT实时信息传输一起用于信号处理。该项目是使用Arduino IDE实施的,用于查找系统的性能矩阵以及各种分析研究。

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