Abstract
Diabetic foot is one of the main complications of diabetes in the whole world. Its symptoms and problems get worse over time and may include numbness, tingling, loss of sensation and pain in the limbs. Our goal is to develop a smart sock able to control some measures such us temperature or humidity and tells the patient whether ulcers may appear. As one of the first steps, we want to: (i) study the best sensors to take the temperature in the feet, (ii) give important reasons about the amount of regions of interest (ROis) necessary to perform a good screening in the diabetic foot, and for optimizing the study, eliminating areas that offer redundant results. In this work, first, we analyze the different sensors in the scientific literature. As a consequence, we find that it could be complicated to collocate many sensors at each sock. Therefore, in the second part, we derive a statistical analysis about which are the best 4-5 points where sensors should be placed.
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This research was funded by Fundación Samuel Solórzano grant number FS/18-2018.
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Torreblanca González, J., Martínez Nova, A., Encinas, A.H., Martín-Vaquero, J., Queiruga-Dios, A. (2020). Statistical Analysis to Control Foot Temperature for Diabetic People. In: Rocha, Á., Adeli, H., Reis, L., Costanzo, S., Orovic, I., Moreira, F. (eds) Trends and Innovations in Information Systems and Technologies. WorldCIST 2020. Advances in Intelligent Systems and Computing, vol 1161. Springer, Cham. https://doi.org/10.1007/978-3-030-45697-9_29
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DOI: https://doi.org/10.1007/978-3-030-45697-9_29
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