title: Premature ventricular contraction classification by the Kth nearest-neighbours rule.
abstract: An analysis of electrocardiographic pattern recognition parameters for premature ventricular contraction (PVC) and normal (N) beat classification is presented. Twenty-six parameters were defined: 11 x 2 for the two electrocardiogram (ECG) leads, width of the complex and three parameters derived from a single-plane vectorcardiogram (VCG). Some of the parameters include amplitudes of maximal positive and maximal negative peaks, area of absolute values, area of positive values, area of negative values, number of samples with 70% higher amplitude than that of the highest peak, amplitude and angle of the QRS vector in a VCG plane. They were measured for all heartbeats annotated as N or PVC in all 48 ECG recordings of the MIT-BIH arrhythmia database. Two reference sets for the Kth nearest-neighbours rule were used-global and local. The classification indices obtained with the global reference set were 75.4% specificity and 80.9% sensitivity. Using the local reference set we increased the specificity to 96.7% and the sensitivity to 96.9%. The achieved specificity and sensitivity are comparable with, and greater than, the results reported in the literature.
authors.affiliation: Centre of Biomedical Engineering, Bulgarian Academy of Sciences, 1113 Sofia, Bulgaria. ivaylo.christov@clbme.bas.bg
authors.forename: I
authors.initials: I
authors.lastname: Christov
authors.forename: I
authors.initials: I
authors.lastname: Jekova
authors.forename: G
authors.initials: G
authors.lastname: Bortolan
mesh_terms: D003627:Data Interpretation, Statistical; D004562:Electrocardiography / Q000706:statistics & numerical data*; D006801:Humans; D015233:Models, Statistical; D012680:Sensitivity and Specificity; D018879:Ventricular Premature Complexes / Q000145:classification*