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Erschienen in:
2014 | OriginalPaper | Buchkapitel
Automatic Burn Depth Estimation from Psychophysical Experiment Data
verfasst von : Begoña Acha, Tomás Gómez-Cía, Irene Fondón, Carmen Serrano
Erschienen in: XIII Mediterranean Conference on Medical and Biological Engineering and Computing 2013
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In this paper a psychophysical experiment and a Multidimensional Scaling (MDS) analysis are undergone to determine the physical characteristics that physicians employ to diagnose a burn depth. Subsequently, these characteristics are translated into mathematical features, correlated with these physical characteristics analysis. Finally, they are introduced to a Support Vector Machine (SVM) classifier. Results validate the ability of the mathematical features extracted from the psychophysical experiment to classify burns into their depths.