Biomedical Engineering Reference
In-Depth Information
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FIGURE 11.38
(a) Intersection of fuzzy sets: YOUNG AND MIDDLE-AGED. (b) Union of fuzzy sets: MIDDLE-
AGED OR OLD. (c) Negation of fuzzy sets: NOT OLD.
a process can be described or modeled mathematically, then fuzzy logic will not generally
perform better than traditional methods.
Biomedical engineering applications, which involve the analysis and evaluation of bio-
signals, often have attributes that confound traditional computing methods but are well
suited to fuzzy logic. Biological phenomena are often not precisely understood and can
be extremely complex. Biological systems also vary significantly from one individual to
the next individual. In addition, many key quantities in biological systems cannot be
measured precisely due to limitations in existing sensors and other biomedical measuring
devices. Sensors may have the capability to measure biological quantities intermittently
or in combination with other parameters but not independently. Blood glucose sensors,
