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Splitting of the ECG Pattern is Not only a Sign of Possible Myocardial Infarction or Cardio Pathology, But one of Many Possible Normal States of the Nonlinear Dynamics of the Heart as Well

Austin Cardio & Cardiovascular Case Reports. 2018. Vol. 3. No. 1. P. 1–6.
Shmid A., Novopashin M. A., Berezin A. A., Zimina E.

The ECG features analysis in a patient born in 1946 led to repeated statement of misdiagnosis, particularly of myocardial infarction. About 2,500 patients’s ECGshave been analyzed for the three-year period of the patient’s observation. A Fourier analysis of the spectra of the ECGs of the patient 2506 allowed to assume that there exists an additional leading center in his myocardium, with a variable start phase of the myocardium relative to the phase
of the fundamental frequency of contractions of the myocardium. Experimental confirmation of this hypothesis is in particular; found in the patient jump-like transition from synchronous phase daily changes in the function dynamics of
the P wave width and the PQ segment to the antiphase ones, which reflects the change in the conditions for triggering the process of myocardial contraction. As a result, the coupling of the two leading frequencies of the myocardium, with a variable phase shift of the triggering, can be expressed both in the extra systoles appearance as well as in unusual cardio cycles not coinciding in the form and phase of cardio cycles of a single ECG. Cluster analysis of the entire set of collected patient’s ECGs in the similarity of their forms revealed 18 separate clusters of similarity. While cluster analysis of the ECG samples in other 4857 patients in most cases led to the identification of only one cluster characteristic for a certain patient’s ECG form. Mathematical modeling of the proposed hypothesis about the presence of more than one leading center of myocardial triggering which resulted in getting model patterns of split ECGs, qualitatively corresponding to the split forms of ECGs observed in the studied patient, confirmed its validity.

Research target: Computer Science Mathematics Medical Technologies
Priority areas: engineering science
Language: English
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Keywords: кластеризацияclustering and classificationelectrocardiogram (ECG),cardiologyкардиологияэлектрокардиограмма (ЭКГ)Myocardial
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