Key result
The application of signal identification measurements and integrated interaction factors from electrocardiological signals allows for the preliminary diagnosis of large-focal myocardial infarction.
A signal identification method using integrated interaction factors of electrocardiological signals may aid in the preliminary diagnosis of large-focal myocardial infarction.
May aid preliminary large-focal MI diagnosis via electrocardiological signals; extends signal-processing applications in cardiology RCTs.
The possibility of a theory tools application of signals identification measurements for the preliminary diagnosis of a human's large-focal myocardial infarction is described. The analysis of the electrocardiological signals is used for this purpose. In particular, the dependence of a cardiovascular system condition on the offered integrated interaction factors is established. The size of the integrated interaction factor is determined allowing predicting the existence of separate groups of a myocardial infarction. The possibility of this technique application for a preliminary diagnostics of a human's cardiovascular system condition is offered.
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Klikushin et al. (2017) studied Large-focal myocardial infarction. Signal identification measurements (integrated interaction factors) was evaluated on Preliminary diagnosis of myocardial infarction. The application of signal identification measurements and integrated interaction factors from electrocardiological signals allows for the preliminary diagnosis of large-focal myocardial infarction.
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