Evidence map›Paper›PMID 40074820›Full record

ArticleScientific reports2025

Enhancing cardiovascular monitoring: a non-linear model for characterizing RR interval fluctuations in exercise and recovery.

Matías Castillo-Aguilar, Diego Mabe-Castro, David Medina, Cristian Núñez-Espinosa

Abstract read
In one paragraph

Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

7 citing papers in PubMed.

  1. Review
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Matías Castillo-AguilarCentro Asistencial Docente e Investigación (CADI-UMAG), Universidad de Magallanes, Punta Arenas, Chile.
Diego Mabe-CastroCentro Asistencial Docente e Investigación (CADI-UMAG), Universidad de Magallanes, Punta Arenas, Chile.
David MedinaDepartamento de Ingeniería en Computación, Universidad de Magallanes, Punta Arenas, Chile.
Cristian Núñez-EspinosaCentro Asistencial Docente e Investigación (CADI-UMAG), Universidad de Magallanes, Punta Arenas, Chile. cristian.nunez@umag.cl.

Funding

Agencia Nacional de Investigación y Desarrollo Fondecyt Iniciación Nº11220116
6 · The paper itself

Abstract

This work aimed to develop and validate a novel non-linear model to characterize RR interval (RRi) time-dependent fluctuations throughout a rest-exercise-recovery protocol, offering a more precise and physiologically relevant representation of cardiac autonomic responses than traditional HRV metrics or linear approaches. Using data from a cohort of 272 elderly participants, the model employs logistic functions to capture the non-stationary and transient nature of RRi time-dependent fluctuations, with parameter estimation achieved via Hamiltonian Monte Carlo. Sobol sensitivity analysis identified baseline RRi (α) and recovery proportion (c) as the primary drivers of variability, underscoring their critical roles in autonomic regulation and resilience. Validation against real-world RRi data demonstrated robust model performance (R

Indexed as

ExerciseHeart RateModels, CardiovascularAgedAutonomic Nervous SystemFemaleHumansMaleMiddle AgedMonitoring, PhysiologicNonlinear DynamicsAutonomic nervous systemCardiovascular systemExercise physiologyHeart rate variabilityLogistic modelsModelsTheoretical

Identifiers

PMID40074820
PMCPMC11904009

What OpenQuestion holds

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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.