Title :
Neural nets for ECG classification
Author_Institution :
Inst. of Electron., Tech. Univ. of Silesia, Gliwice, Poland
Abstract :
Some results on applying neural nets at the classification stage are presented. Using the back-propagation error method, three types of neural nets have been tested. Two types of classification have been performed: a first one on the basis of the elements of the training set and a second in which elements covering the hypercube, defined by all possible cases, have been generated
Keywords :
computerised pattern recognition; electrocardiography; hypercube networks; medical diagnostic computing; neural nets; ECG classification; back-propagation error method; hypercube; neural nets; training set; Electrocardiography; Equations; Image processing; Lead; Neural networks; Performance evaluation; Signal processing; Tellurium; Testing; Topology;
Conference_Titel :
Engineering in Medicine and Biology Society, 1989. Images of the Twenty-First Century., Proceedings of the Annual International Conference of the IEEE Engineering in
Conference_Location :
Seattle, WA
DOI :
10.1109/IEMBS.1989.96575
