Exploiting the advantages of symbolically interpretable continuous biomedical parameters with a fuzzyfied symbolic model.
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.
Moreno
L
L
Centro Superior de Informática, University of La Laguna, CP: 38200 La Laguna, S/C de, Tenerife, Spain.
Estévez
J I
JI
Aguilar
R M
RM
Sigut
J
J
González
C
C
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