Abstract
From numbness to acral necrosis, vasospasms confining to the fingers are stimulating a wide variety of symptoms. Induced by several reasons, the constriction of small arteries is a severe disorder and should be diagnosed as early as possible. The major indicator of a mild vasospasm is reduced blood flow creating a nonhomogeneous radiation patterns in hand thermography before a total discoloration of the fingers. Therefore, in this paper, an identification methodology of the vasospasms is discussed, through the fuzzy c-means. Since the pseudocolored thermograms give crucial information of radiation variety, we segmented the hands from the images by hard k-means for subsequent analysis of low-radiated regions determined by fuzzy c-means. The isolated low-radiated regions in red-channel converted images also reveals ischemia as well as thermoregulation even in very milder cases.
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Acknowledgment
The work and the contribution were supported by the SPEV project “Smart Solutions in Ubiquitous Computing Environments”, University of Hradec Kralove, Faculty of Informatics and Management, Czech Republic. We are also grateful for the support of Ph.D. students of our team (Ayca Kirimtat and Pavel Blazek) in consultations regarding application aspects.
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Alpar, O., Krejcar, O. (2018). Detection of Irregular Thermoregulation in Hand Thermography by Fuzzy C-Means. In: Rojas, I., Ortuño, F. (eds) Bioinformatics and Biomedical Engineering. IWBBIO 2018. Lecture Notes in Computer Science(), vol 10814. Springer, Cham. https://doi.org/10.1007/978-3-319-78759-6_24
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