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.