Mathematical Characterization of Normal Neonatal Cardiac Dynamics Based on Probability Theory
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Keywords

newborn, heart dynamics, heart rate, probability

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Mathematical Characterization of Normal Neonatal Cardiac Dynamics Based on Probability Theory. (2017). Universitas Medica, 58(1). https://doi.org/10.11144/Javeriana.umed58-1.cmdc
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Abstract

Background: Cardiac dynamics have been evaluated from physical-mathematical theories like probability and dynamical systems, allowing to developing diagnosis and clinical application predictions. Objective: To measure the probability of normal neonatal heart rates distribution, for doing a mathematical characterization, objective and reproducible. Methods: It have been analyzed 10 normal dynamics through continuous records and holters, taking maximum and minimum values of heart rates per hour during 21 hours. Ranges of 5 beats/min were generated; obtained distributions in probability space for heart rates were analyzed, to search normality mathematical characteristics for neonatal cardiac dynamics. Results: The probabilities of the evaluated ranges varied between 0.02272 and 0.2826; also, in three of the ranges, all the dynamics showed a minimum probability or zero. Conclusions: A general characterization, objective and reproductible, of normal neonatal cardiac dynamics, was developed.

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