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ECG Beat Classification Using Evidential K -Nearest Neighbours
Procedia Computer Science
The Electrocardiogram (ECG) signal provides a useful non-interventional method for identifying cardiac arrhythmias. In this paper, we look at automatic ECG beat classification into 2 categories-Normal and Premature ventricular contraction using Dempster Shafer Theory (DST). In biomedical signal classification problems, the cost of making an erroneous decision can be high. Deferring a decision rather than taking a wrong decision might be beneficial. This is done by using the evidential k nearestdoi:10.1016/j.procs.2016.06.106 fatcat:ggzmihpe3ffsjeljmh5hictsc4