Abstract
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 Arrhythmia Database. During classification, training data were recorded from subjects different than those from which testing data were measured, 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.
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Dohnálek, P., Gajdoš, P., Peterek, T., Zaorálek, L. (2014). Orthogonal Matching Pursuit Based Classifier for Premature Ventricular Contraction Detection. In: Herrero, Á., et al. International Joint Conference SOCO’13-CISIS’13-ICEUTE’13. Advances in Intelligent Systems and Computing, vol 239. Springer, Cham. https://doi.org/10.1007/978-3-319-01854-6_21
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DOI: https://doi.org/10.1007/978-3-319-01854-6_21
Publisher Name: Springer, Cham
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