Exploiting the advantages of symbolically interpretable continuous biomedical parameters with a fuzzyfied symbolic model

Authors:
L. Moreno;J. I. EstéVez;R. M. Aguilar;J. Sigut;C. GonzáLez
Affiliations:
Centro Superior de Informática, University of La Laguna, CP: 38200 La Laguna, S/C de Tenerife, Spain;Centro Superior de Informática, University of La Laguna, CP: 38200 La Laguna, S/C de Tenerife, Spain;Centro Superior de Informática, University of La Laguna, CP: 38200 La Laguna, S/C de Tenerife, Spain;Centro Superior de Informática, University of La Laguna, CP: 38200 La Laguna, S/C de Tenerife, Spain;Centro Superior de Informática, University of La Laguna, CP: 38200 La Laguna, S/C de Tenerife, Spain
Venue:
Artificial Intelligence in Medicine
Year:
2001

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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.