Utility of nonlinear analysis of heart rate variability in early detection of metabolic syndrome
These findings support the integration of nonlinear HRV analysis with traditional methods to improve the early detection and management of metabolic syndrome. The progressive reduction in heart rate signal complexity may serve as a sensitive marker of early autonomic dysfunction in metabolic deterioration.
Authors
- Santiago C. Sigrist-Flores (ORCID: https://orcid.org/0000-0001-5925-1347)
- J. Rafael Jiménez-Flores (ORCID: https://orcid.org/0000-0002-8004-1253)
- Alejandro Muñoz-Diosdado (ORCID: https://orcid.org/0000-0001-9872-8304)
- Alberto Ponciano-Gómez (ORCID: https://orcid.org/0000-0002-1801-6575)
- Myriam Campos-Aguilar
- José Alberto Zamora-Justo (ORCID: https://orcid.org/0000-0002-2946-3899)
- María Del Carmen Beas-Jara
- Pedro Galván-Fernández
Institutions
- Universidad Autónoma de Tlaxcala (MX)
- Instituto Politécnico Nacional (MX)
- Universidad Nacional Autónoma de México (MX)
Publication Details
- Journal
- Frontiers in Physiology
- Published
- 2025-06-24
- DOI
- https://doi.org/10.3389/fphys.2025.1597314
- Citations
- 5
- Primary Topic
- Heart Rate Variability and Autonomic Control
- Type
- article
- Field-Weighted Citation Impact
- 6.94