Permutation entropy analysis of heart rate variability for the assessment of cardiovascular autonomic neuropathy in type 1 diabetes mellitus

Computers in Biology and Medicine
Claudia Carricarte NaranjoAndrés Machado García

Abstract

Heart rate variability (HRV) analysis is a relevant tool for the diagnosis of cardiovascular autonomic neuropathy (CAN). To our knowledge, no previous investigation on CAN has assessed the complexity of HRV from an ordinal perspective. Therefore, the aim of this work is to explore the potential of permutation entropy (PE) analysis of HRV complexity for the assessment of CAN. For this purpose, we performed a short-term PE analysis of HRV in healthy subjects and type 1 diabetes mellitus patients, including patients with CAN. Standard HRV indicators were also calculated in the control group. A discriminant analysis was used to select the variables combination with best discriminative power between control and CAN patients groups, as well as for classifying cases. We found that for some specific temporal scales, PE indicators were significantly lower in CAN patients than those calculated for controls. In such cases, there were ordinal patterns with high probabilities of occurrence, while others were hardly found. We posit this behavior occurs due to a decrease of HRV complexity in the diseased system. Discriminant functions based on PE measures or probabilities of occurrence of ordinal patterns provided an average of 75% and 96% cl...Continue Reading

Citations

Nov 26, 2020·Heliyon·Karina R ArutyunovaYuri I Alexandrov
Apr 21, 2021·Artificial Intelligence in Medicine·Luis David Avendaño-ValenciaVictoria Blanes-Vidal
May 7, 2021·Computer Methods and Programs in Biomedicine·Mesut ŞekerMehmet Siraç Özerdem

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