Key result
A diagnostic methodology based on proportional entropy achieved maximal sensitivity, specificity, and diagnostic agreement in differentiating normal from pathological heart dynamics.
Why the study?
The study was conducted to apply a previously developed diagnostic methodology based on dynamical systems, probability, and entropy in both normal and pathological subjects.
Does a diagnostic methodology based on proportional entropy accurately differentiate normal from pathological heart dynamics?
Observational (n=230)
Does a diagnostic methodology based on proportional entropy accurately differentiate normal from pathological heart dynamics?
Proportional entropy of heart rate dynamics may serve as an objective diagnostic tool to differentiate normal from pathological cardiac states.
May support entropy-based diagnostics in research; leaves open clinical adoption pending prospective validation.
INTRODUCTION: Dynamical systems theory, probability, and entropy were the substrate for the development of the diagnostic and predictive methodology of adult heart dynamics. OBJECTIVE: To apply a previously developed methodology from dynamical systems, probability, and entropy in both normal and pathological subjects. METHODS: Electrocardiographic records were selected from 30 healthy subjects and 200 with different pathologies, with a length of least 18 h. Numerical attractors from dynamical attractors and the probability of occurrence of ordered pairs of consecutive heart rates were built. A calculation of entropy and its proportions was performed and statistical analysis was conducted. RESULTS: The normal patients' heart dynamics were evaluated according to the methodology of entropy proportions, highlighting that there are differences in normal patients with different pathologies. There was maximal level of sensitivity, specificity, and diagnostic agreement. CONCLUSION: Proportional entropy constitutes a diagnostic and predictive method of heart systems, and may be useful as a tool to objectively diagnose and perform the follow-up of normal and pathological cases.
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Rodríguez et al. (2020) conducted an observational in Cardiac pathologies (n=230). Diagnostic methodology based on proportions of entropy vs. Healthy subjects was evaluated on Sensitivity, specificity, and diagnostic agreement. A diagnostic methodology based on proportional entropy achieved maximal sensitivity, specificity, and diagnostic agreement in differentiating normal from pathological heart dynamics.
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