Abstract
This work aims to give an additional contribute to the development of an alternative diagnostic method to be applied to early detection of foot pathology in Diabetes Mellitus individuals. In this work, the main concepts related to the topic under study are introduced and a framework concerning the use of thermography to evaluate the temperature distribution in the feet is presented. Additionally, in this work, a mathematical model to characterise the plantar temperature distribution variation is presented and an optimization programming problem based on the nonlinear least squares approach is proposed. Some considerations about the two global non-linear optimization metaheuristic methods used to solve this model, namely a Hybrid Genetic Algorithm and a Hybrid Simulated Annealing, are also described. Thermal plantar images of non diabetic and diabetic individuals are used to test the approach. The numerical results obtained with both methods for the different regions of each foot are presented and analysed; the best results were obtained with the Hybrid Genetic Algorithm. Some preliminary conclusions were made.
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Acknowledgments
The authors thank University of Trás-os-Montes and Alto Douro, Polytechnic Institute of Bragança and Centro de Saúde de Santa Maria, Bragança, Portugal. This work has been supported by FCT – Fundação para a Ciência e Tecnologia within the Projects Scope UIDB/05757/2020 and UIDB/00013/2020.
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Teixeira, A., Pereira, A.I. (2020). On Temperature Variation of the Diabetic Foot. In: Gervasi, O., et al. Computational Science and Its Applications – ICCSA 2020. ICCSA 2020. Lecture Notes in Computer Science(), vol 12251. Springer, Cham. https://doi.org/10.1007/978-3-030-58808-3_37
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DOI: https://doi.org/10.1007/978-3-030-58808-3_37
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