Abstract
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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© 1991 Springer-Verlag Berlin Heidelberg
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Barro, S., Ruiz, R., Marín, R., Presedo, J., Bugarín, A., Mira, J. (1991). Knowledge-Based Fuzzy Classification of Signal Events. In: Adlassnig, KP., Grabner, G., Bengtsson, S., Hansen, R. (eds) Medical Informatics Europe 1991. Lecture Notes in Medical Informatics, vol 45. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-93503-9_76
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DOI: https://doi.org/10.1007/978-3-642-93503-9_76
Publisher Name: Springer, Berlin, Heidelberg
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