【24h】

Optical based non invasive glucometer with IoT

机译:基于光学的非侵入性凝血仪,带有物联网

获取原文

摘要

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:糖尿病(DM)绰号为糖是对医疗领域的无法治愈和危急的挑战之一。严重的疾病如过早死亡率甚至死亡的原因,可以通过持续监测远程位置来识别。传统和常规方法,如手指刺的衰退,如疼痛和导致感染的组织损伤。可以通过非侵入性技术克服这种类型的感染。本文的目的是使用光学和物联网技术使用非侵入性技术监测葡萄糖水平。所提出的传感器电路由WALT 650-2500NM的IR LED为光学血糖测量和NIR光电二极管(INGAAS)组成,以从身体部位接收反射光以确定葡萄糖水平。 Beer-Lambert法用于信号处理以及基于GSM的IOT实时信息传输。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。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号