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.
fuzzyfied symbolic model fuzzy systems eeg automatic analysis trend detection pattern recognition