Abstract
The use of computer supported diagnosis for the early detection of illness-related complications is of utmost importance not only for the ill individual, but also for the society in general. This paper describes one approach to address the early detection of complications in diabetic feet, achieved by the use of a new device created using out-of-the box components, and complemented with a software ecosystem. This paper describes the solution and the ongoing research.
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Gordois, A., Scuffham, P., Shearer, A., Oglesby, A., Tobian, J.A.: The Health Care Costs of Diabetic Peripheral Neuropathy in the US. Diabetes Care 26(6), 1790–1795 (2003)
Cheuy, V.A., Hastings, M.K., Commean, P.K., Ward, S.R., Mueller, M.J.: Intrinsic foot muscle deterioration is associated with metatarsophalangeal joint angle in people with diabetes and neuropathy. Clinical Biomechanics 28(9–10), 1055–1060 (2013)
Greenman, R.L., Khaodhiar, L., Lima, C., Dinh, T., Giurini, J.M., Veves, A.: Foot Small Muscle Atrophy Is Present Before the Detection of Clinical Neuropathy. Diabetes Care 28(6), 1425–1430 (2005)
Kelly, L.A, Cresswell, A.G, Racinais, S., Whiteley, R., Lichtwark, G.: Intrinsic foot muscles have the capacity to control deformation of the longitudinal arch. Journal of the Royal Society Interface [Internet] 11(93), January 29, 2014. http://rsif.royalsocietypublishing.org/content/11/93/20131188.abstract
IDF [Internet]. http://www.idf.org/
TICE [Internet]. https://www.tice.pt/
Mustra, M., Delac, K., Grgic, M.: Overview of the DICOM standard. In: ELMAR, 2008 50th International Symposium, pp. 39–44 (2008)
Gao, Z., Shi, P., Karimi, H.R., Pei, Z.: A mutual GrabCut method to solve co-segmentation. EURASIP Journal on Image and Video Processing 2013(1), 1–11 (2013)
Kohli, P., Osokin, A., Jegelka, S.: A principled deep random field model for image segmentation. In: 2013 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), pp. 1971–1978 (2013)
Mirth Connect [Internet]. http://www.mirthcorp.com/products/mirth-connect
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© 2016 Springer International Publishing Switzerland
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Felizardo, V. et al. (2016). Metabolic.Care: A Novel Solution Based on a Thermography for Detection of Diabetic Foot. In: Lindgren, H., et al. Ambient Intelligence- Software and Applications – 7th International Symposium on Ambient Intelligence (ISAmI 2016). ISAmI 2016. Advances in Intelligent Systems and Computing, vol 476. Springer, Cham. https://doi.org/10.1007/978-3-319-40114-0_13
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DOI: https://doi.org/10.1007/978-3-319-40114-0_13
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