title: Exploiting the advantages of symbolically interpretable continuous biomedical parameters with a fuzzyfied symbolic model.
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.
authors.affiliation: Centro Superior de Informática, University of La Laguna, CP: 38200 La Laguna, S/C de, Tenerife, Spain.
authors.forename: L
authors.initials: L
authors.lastname: Moreno
authors.forename: J I
authors.initials: JI
authors.lastname: Estévez
authors.forename: R M
authors.initials: RM
authors.lastname: Aguilar
authors.forename: J
authors.initials: J
authors.lastname: Sigut
authors.forename: C
authors.initials: C
authors.lastname: González
mesh_terms: D001185:Artificial Intelligence; D004569:Electroencephalography / Q000706:statistics & numerical data; D001330:Electronic Data Processing; D017143:Fuzzy Logic; D006801:Humans; D021641:Recognition, Psychology; D012815:Signal Processing, Computer-Assisted; D013561:Symbolism