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Exploiting the advantages of symbolically interpretable continuous biomedical parameters with a fuzzyfied symbolic
L Moreno1, J I Estévez, R M Aguilar
1Centro Superior de Informática, University of La Laguna, CP: 38200 La Laguna, S/C de, Tenerife, Spain.
Artificial Intelligence in Medicine
|January 13, 2001
Abstract:
Continuous biomedical parameters are normally hybrid signals, because they contain both sub-symbolic and symbolic information. This paper describes a methodology to design adequate processing systems for the automatic analysis of this kind of signals. The methodology is supported by the concept of fuzzy system.