Knowledge-Based Fuzzy Classification of Signal Events
This work presents, and exemplifies in the field of electrocardiographic (ECG) signal processing, aspects of the design of Knowledge-based Fuzzy Classifiers of signal events. These classifiers add schemes for the conversion of numerical and symbolic information, and a later knowledge based treatment of this information to the classical processes of numerical feature extraction. This way, a feature space made up of linguistic variables is defined. The classification of an event in this space is approached through a process of comparison with a series of prototypes acquired from the expert.
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