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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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Tallennettuna:
Päätekijät: 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
Aineistotyyppi: Artigo
Kieli:Inglês
Julkaistu: Frontiers Media S.A. 2025-06-01
Sarja:Frontiers in Physiology
Aiheet:
heart rate variability time series
nonlinear dynamic techniques
sample entropy
detrended fluctuation analysis
autonomic dysfunction
Linkit:https://www.frontiersin.org/articles/10.3389/fphys.2025.1597314/full
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