Premature Ventricular Contractions (PVCs) are a common topic of discussion among cardiologists as this type of heart arrhythmia is very frequent among the general population, often endangering people's health. In this paper, a software system is proposed that differentiates PVCs from normal, healthy heartbeats collected in the MIT-BIH Ar- rhythmia Database. During classification, training data were recorded from subjects different than those from which testing data were mea- sured, making the classifiers attempt to recognize patterns they were not trained for. A modification of the Orthogonal Matching Pursuit (OMP) based classifier is described and used for comparison with other, well- established classifiers. The absolute accuracy of the described algorithm is 87.58%. More elaboration on the results based on cross-reference is also given.
['Pavel Dohnálek', 'Petr Gajdoš', 'Tomáš Peterek', 'Lukáš Zaorálek']
Orthogonal Matching Pursuit Based Classifier for Premature Ventricular Contraction Detection