Why the study?
New statistical analysis methods were needed to increase informativeness, enable detailed heart rhythm analysis in cardiovascular information systems, and improve cardiac rhythm diagnostic accuracy.
A novel statistical method using random rhythm functions and information criteria demonstrates that ECG interval sequences are best described by Fisher-Tippett and Birnbaum-Saunders distributions, potentially enhancing automated rhythm diagnostics.
The new methods of statistical analysis of heart rhythm were developed based on its generalized mathematical model in a form of random rhythm function, that allows to increase the informativeness and detailed analysis of heart rhythm in cardiovascular information systems. Three information criteria (BIC, AIC and AICc) were used to determine the cumulative distribution functions that best describe the sample and to assess the unknown parameters of distributions. The usage of the rhythm function to analyse heart rhythm allows to consider much better its time structure that is the basis to improve the accuracy of diagnosis of cardiac rhythm.
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Lupenko et al. (2018) studied this question.
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