Development of Insole for AI-Based Diagnosis of Diabetic Foot Ulcers in IoT Environment


KIPS Transactions on Computer and Communication Systems, Vol. 11, No. 3, pp. 83-90, Mar. 2022
https://doi.org/10.3745/KTCCS.2022.11.3.83,   PDF Download:
Keywords: Sensor, Internet of Things, Digital Therapeutics, Diabetic Foot Ulcers, Artificial intelligence
Abstract

Diabetes is a common disease today, and there are also many cases of developing into serious complications called Diabetic Foot Ulcers(DFU). Diagnosis and prevention of DFU in advance is an important task, and this paper proposes the method. Based on existing studies introduced in the paper, it can be seen that foot pressure and temperature information are deeply correlated with DFU. Introduce the process and architecture of SmarTinsole, an IoT device that measures these indicators. Also, the paper describes the preprocessing process for AI-based diagnosis of DFU. Through the comparison of the measured pressure graph and the actual human step distribution, it presents the results that multiple information collected in real-time from SmarTinsole are more efficient and reliable than the previous study.


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Cite this article
[IEEE Style]
C. W. Hoo, C. T. Myoung, P. J. Ung, L. S. Hu, "Development of Insole for AI-Based Diagnosis of Diabetic Foot Ulcers in IoT Environment," KIPS Transactions on Computer and Communication Systems, vol. 11, no. 3, pp. 83-90, 2022. DOI: https://doi.org/10.3745/KTCCS.2022.11.3.83.

[ACM Style]
Choi Won Hoo, Chung Tai Myoung, Park Ji Ung, and Lee Seo Hu. 2022. Development of Insole for AI-Based Diagnosis of Diabetic Foot Ulcers in IoT Environment. KIPS Transactions on Computer and Communication Systems, 11, 3, (2022), 83-90. DOI: https://doi.org/10.3745/KTCCS.2022.11.3.83.