Sugar Level Detection Using Thermal Images

  • Authors

    • M Suresh Anand
    • M Balamurugan
    • R Shubathra
    • M Ragavi
    • R Bhagya Lakshmi Priya
    2018-12-13
    https://doi.org/10.14419/ijet.v7i4.39.25671
  • sugar, thermal, image processing, diabetes, classifiers

  • Diabetes mellitus, commonly called as Diabetes, in which the person has high sugar level. Insulin, produced by the pancreas, is responsible for controlling the level of blood glucose level. The lack of production in insulin leads to Diabetes. If the problem left untreated, it leads to serious complications includes cardiac problems. There are various invasive techniques to diagnose diabetes. In this project we are using mid infrared rays instead of near infrared rays to acquire the thermal image of the palm. The thermal images  are pre-processed and segmented using k means clustering. Then they are subjected to feature extraction and then classified using classifiers. The classifiers like SupportVectorMachine(SVM),ProbabilisticNeural Network(PNN),K-Nearest Neighbour Network (KNN) are used to diagnose the thermal images of palm.

     

     

  • References

    1. [1] “Noninvasive blood-glucose monitoring using nearinfrared spectroscopyâ€-Masaab Ahmad, Awaish Kamboh, AhmedKhan,October 16,2013

      [2] “Noninvasive Glucose-Monitoring Using Scattering- Spectroscopy†-OlaSAbdalsalam, AlaAldeenAwouda-AmericanJournal of BiomedicalEngineering 2014

      [3] “NonInvasive Blood-Glucose Measurement using Laser-Optic Techniquesâ€- SKavitha and ASenthil Kumar

      [4] “NonInvasive Optical Blood-Glucose Measureamentâ€- MeghaC.Pande, Prof.AK.Joshi, InternationalJournal of EngineeringReseaarch and Applications,ISSN: 2248- Vol. 3, Issue 4, Jul-Aug 2013, pp.129-131 129

      [5] “NonInvasive Blood-Glucose Measurement and Controlâ€- S. Pavithra, R. SanthanaBharathi, Reshma Ann Mathews, R. Gokulakrishnan (2017)

      [6] “Non-Invasive Technique To Measure-Glucose & HaemoglobinLevel In Blood Using NIROcclusion Spectroscopyâ€- AGPavithra, DMeneshaKaran, DAjith Kumar, PSAnuShalin

      [7] “NonInvasive Blood-Glucose Level Monitoring System for Diabetic-Patients using NearInfrared Spectroscopyâ€-Chandrakant DattraoBobade and Dr. Mahadev S. Patil

      [8] “Monitoring patient with diabetes using wearable sensor :Predicting glycaemias using ECG and respiration rateâ€-Božidara Cvetković and UrÅ¡ka Pangerc and Anton GradiÅ¡ek and MitjaLuÅ¡trek

      [9] “AutomaticDetection of Anomalies in Blood-Glucose Using MachineLearningApproachâ€-Ying Zhu,Faculty of Business and IT.

      [10] â€Glucose-Monitoring in Individuals with Diabetes using Long Term Implanted-Sensor/Telemetry System & Modelâ€-JosephYLucisano,TimothyL.Routh,JoeT.Lin and David A.Gough

      [11] “New-Patch Analyzes Sweat to Detect Blood-Sugar Levelsâ€-AgataBlaszczakBoxe,Contributing Writer March 2016

      [12] Automated Detection of Diabetic Foot Using Thermal Images by Neural Network Classifiers-S. Purnima1 Shiny Angelin.P, Priyanka.R, Subasri.G, Venkatesh.R|2017

      [13] â€Automatic Diabetic Detection By Using Foot Path Imagesâ€-Subashini k Mary livinsa.

      [14] â€Cloud-Computing Based NonInvasive GlucoseMonitoring for Diabetic-Careâ€,Praful Pai, Pradyut Sanki, Sudeep Sahoo, Arijit De, Sourangshu Bhattacharya,Swapna Banerjee,2018.

      [15] Infra-Red Thermal-Imaging for Interpreting Complications of Diabetic Foot Ulcers: A Case Control Study -Sasya Pradhan, Mahesh Kariyappa.

  • Downloads

  • How to Cite

    Suresh Anand, M., Balamurugan, M., Shubathra, R., Ragavi, M., & Bhagya Lakshmi Priya, R. (2018). Sugar Level Detection Using Thermal Images. International Journal of Engineering & Technology, 7(4.39), 637-639. https://doi.org/10.14419/ijet.v7i4.39.25671