Caracterización matemática de dinámicas cardiacas neonatales normales a partir de la teoŕıa de la probabilidad

Translated title of the contribution: Mathematical Characterization of Normal Neonatal CardiacDynamics Based on Probability Theory

Research output: Contribution to journalArticlepeer-review

Abstract

Background: Cardiac dynamics have been evaluated from physical-mathematical theories like probability and dynamical systems, allowingto 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 continuousrecords and holters, taking maximum and minimum values of heart ratesper hour during 21 hours. Ranges of 5 beats/min were generated; obtaineddistributions in probability space for heart rates were analyzed, to searchnormality mathematical characteristics for neonatal cardiac dynamics.Results: The probabilities of the evaluated ranges varied between 0.02272and 0.2826; also, in three of the ranges, all the dynamics showed aminimum probability or zero. Conclusions: A general characterization, objective and reproductible, of normal neonatal cardiacdynamics, was developed.
Translated title of the contributionMathematical Characterization of Normal Neonatal CardiacDynamics Based on Probability Theory
Original languageSpanish
Number of pages8
JournalUniversitas Medica
Volume58
Issue number1
DOIs
StatePublished - 01 Jan 2017

Fingerprint

Dive into the research topics of 'Mathematical Characterization of Normal Neonatal CardiacDynamics Based on Probability Theory'. Together they form a unique fingerprint.

Cite this