Utility of nonlinear analysis of heart rate variability in early detection of metabolic syndrome

Utility of nonlinear analysis of heart rate variability in early detection of metabolic syndrome

IntroductionMetabolic syndrome (MetS) is a clinical condition characterized by multiple risk factors that significantly increase the likelihood of developing cardiovascular diseases and type 2 diabetes. Traditional markers, such as body mass index (BMI) and waist circumference, often fail to detect...

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Main Authors: José Alberto Zamora-Justo, Myriam Campos-Aguilar, María del Carmen Beas-Jara, Pedro Galván-Fernández, Alberto Ponciano-Gómez, Santiago Cristóbal Sigrist-Flores, Rafael Jiménez-Flores, Alejandro Muñoz-Diosdado
Format: Article
Language:English
Published: Frontiers Media S.A. 2025-06-01
Series:Frontiers in Physiology
Subjects:
heart rate variability time series
nonlinear dynamic techniques
sample entropy
detrended fluctuation analysis
autonomic dysfunction
Online Access:https://www.frontiersin.org/articles/10.3389/fphys.2025.1597314/full
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