Statistical Analysis of Human Heart Rhythm with Increased Informativeness
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Jan 03, 2019
About this article
Published Online: Jan 03, 2019
Page range: 311 - 315
Received: Jul 10, 2018
Accepted: Dec 20, 2018
DOI: https://doi.org/10.2478/ama-2018-0047
Keywords
© 2018 Serhii Lupenko et al., published by Sciendo
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.
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.