IoT Aided Non-invasive NIR Blood Glucose Monitoring Device

  • Anitha Chinthoju
  • Jaya Gayatri ChekkaEmail author
  • Ravalika Nadigepu
  • Harish Kuchulakanti
Conference paper
Part of the Learning and Analytics in Intelligent Systems book series (LAIS, volume 3)


This paper demonstrates the measurement of human blood glucose concentration level non-invasively. Existing methods involve invasive monitoring that is painful, cause discomfort and damage to the tissue. Our project aims at developing a non-invasive glucose monitor. This monitor helps to reduce the agony of diabetic patients who require continuous monitoring of glucose and also reduce the spread of infectious diseases caused due to the repeated puncturing on the skin. The device works using Near Infra-Red (NIR) rays that are transmitted and received across the finger. The varying voltages taken at the receiver end are further processed and correlated with the glucose concentration levels, and thus the blood glucose concentration is estimated. The glucose levels obtained are displayed on smartphones through the Internet of Things (IoT). The efficiency and sensitivity of this method make this technique convenient to use.


Glucose Diabetes NIR rays IoT 


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Copyright information

© Springer Nature Switzerland AG 2020

Authors and Affiliations

  • Anitha Chinthoju
    • 1
  • Jaya Gayatri Chekka
    • 1
    Email author
  • Ravalika Nadigepu
    • 1
  • Harish Kuchulakanti
    • 1
  1. 1.Department of BME, University College of Engineering(A)Osmania UniversityHyderabadIndia

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