Computational vectorelectrocardiography: comparison of representations according to McPhee-Parungao and Frank

Aim: to compare amplitude-temporal and vectorcardiographic (VCG) parameters calculated through most commonly used matrix transformations. Materials and methods . Preliminary literature search revealed Kors and inverse Dower transformation to be the most commonly used matrices for converting ECG‑12 into Frank VCG. Trunov-Aidu matrix appeared to be the only one for deriving VCG in the McFee-Parungao lead system.The study included 1250 ECGs of patients at the National Medical Research Center of Cardiology with various cardiovascular diseases: arterial hypertension, coronary heart disease, post-infarction cardiosclerosis, aortic stenosis. For each patient, using the above transformations, three VCGs with an intact and three VCGs with an inverted direction of the Z axis (according to Ozol) were obtained. The comparison was carried out based on the main amplitude-temporal indicators of P-QRS-T, as well as on VCG parameters: spatial QRS-T angle, QRS loop area, QRS integral vector, fractional integrals P and QRS. A total of 9 pairwise comparisons of 134 indicators were carried out for each synthesized VCG Results. The strongest (r > 0.9 or r < -0.9) significant (p < 0.001) linear correlation was found between the spatial metrics: P, QRS, T wave loop lengths, QRS loop area, QRS-T angle, ventricular gradient, and QRS shared integrals. Significant relationship between projection parameters and P-QRS-T amplitude and duration was observed in some cases. The largest number of correlations was noted between parameters calculated in McFee-Parungao and Frank lead system derived by Kors. Conclusions. Strong linear relationship was found between the VCG parameters determined through Kors, Dower and Trunov-Aidu matrix transformations, which indicates the equivalence of the results obtained through these matrices.