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

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