Skip to main content

Advertisement

Log in

Infrared Thermal Imaging for Diabetes Detection and Measurement

  • Patient Facing Systems
  • Published:
Journal of Medical Systems Aims and scope Submit manuscript

Abstract

The diabetes mellititus (type 1) condition occur when the beta cell destroy partially due to autoimmune process. The beta cells produce insulin with respect to blood glucose level. The insulin hormone regulates blood glucose in body. The blood glucose increases in body when insulin secretion is low from pancreas, termed as Diabetes mellititus. The Diabetes mellititus causes infection, pain in mouth. The regions in mouth affected by diabetes mellititius include gums, teeth, jaw and tongue. The glucose level increases in saliva which grows harmful bacteria. The bacteria in combination with plaque cause bad breath, gum disease and coating on tongue. The coating and sugar level in tongue alters the temperature of tongue. In this paper we propose to analyze tongue thermal image to diagnose diabetes at early stage.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1
Fig. 2
Fig. 3
Fig. 4
Fig. 5
Fig. 6
Fig. 7
Fig. 8
Fig. 9
Fig. 10
Fig. 11
Fig. 12
Fig. 13

Similar content being viewed by others

References

  1. D. Zhang, H. Zhang, and B. Zhang, Tongue Image Analysis. 2017.

  2. Pang, B., Zhang, D., Li, N., and Wang, K., Computerized tongue diagnosis based on Bayesian networks. IEEE Trans. Biomed. Eng. 51(10):1803–1810, 2004.

    Article  Google Scholar 

  3. Tania, M. H., Lwin, K., and Hossain, M. A., Advances in automated tongue diagnosis techniques. Integr. Med. Res., 2018.

  4. Jafari, A., Buswell, N., Ghovanloo, M., and Mohsenin, T., A Low-Power Wearable Stand-Alone Tongue Drive System for People with Severe Disabilities. IEEE Trans. Biomed. Circuits Syst. 12(1):58–67, 2018.

    Article  Google Scholar 

  5. Xie, H., and Zhang, Y., Relationship between dynamic infrared thermal images and blood perfusion rate of the tongue in anaemia patients. Infrared Phys. Technol. 89:27–34, 2018.

    Article  Google Scholar 

  6. Wang, X., Zhang, B., Yang, Z., Wang, H., and Zhang, D., Statistical analysis of tongue images for feature extraction and diagnostics. IEEE Trans. Image Process. 22(12):5336–5347, 2013.

    Article  Google Scholar 

  7. Borghetti, M., and Serpelloni, M., Measuring inside your mouth! Measurement approaches, design considerations, and one example for tongue pressure monitoring. IEEE Instrum. Meas. Mag. 19(5):41–48, 2016.

    Article  Google Scholar 

  8. Zhang, B., Wang, X., You, J., and Zhang, D., Tongue color analysis for medical application. Evidence-Based Complement. Altern. Med., 2013, 2013.

  9. Hu, M. C., et al., Automated tongue diagnosis on the smartphone and its applications. Comput. Methods Programs Biomed. 0:1–14, 2018.

  10. Wang, H.-H., Pan, C.-H., Wu, P.-P., Luo, S.-F., Lin, H.-J., and Wu, C.-H., Alteration of the Tongue Manifestation Reflects Clinical Outcomes of Peptic Ulcer Disease. J. Altern. Complement. Med. 18(11):1038–1044, 2012.

    Article  Google Scholar 

  11. Wu, T. C. et al., Tongue diagnosis indices for upper gastrointestinal disorders: Protocol for a cross-sectional, case-controlled observational study. Med. (United States) 97(2):3, 2018.

    Google Scholar 

  12. Hsu, P. C., Huang, Y. C., Chiang, J. Y., Chang, H. H., Liao, P. Y., and Lo, L. C., The association between arterial stiffness and tongue manifestations of blood stasis in patients with type 2 diabetes. BMC Complement. Altern. Med., vol. 16(1), 2016.

  13. Yamagishi, Y. et al., Black hairy tongue after chemotherapy for malignant brain tumors. Acta Neurochir. 159(1):169–172, 2017.

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to A. Selvarani.

Ethics declarations

Conflict of Interest

None.

Human and animal rights

This article does not contain any studies with human participants or animals performed by any of the authors.

Additional information

This article is part of the Topical Collection on Patient Facing Systems

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Selvarani, A., Suresh, G.R. Infrared Thermal Imaging for Diabetes Detection and Measurement. J Med Syst 43, 23 (2019). https://doi.org/10.1007/s10916-018-1140-1

Download citation

  • Received:

  • Accepted:

  • Published:

  • DOI: https://doi.org/10.1007/s10916-018-1140-1

Keywords

Navigation