Evaluation of the clinical value of heart rate variability in predicting vasovagal syncope

HRV parameters are associated with the occurrence of VVS. As a noninvasive and continuous physiological biomarker, HRV may aid in the clinical screening, risk stratification, and phenotypic classification of patients with suspected VVS.

Authors

Institutions

Publication Details

Journal
Frontiers in Cardiovascular Medicine
Published
2026-01-21
DOI
https://doi.org/10.3389/fcvm.2025.1684990
Primary Topic
Cardiovascular Syncope and Autonomic Disorders
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Evaluation of the clinical value of heart rate variability in predicting vasovagal syncope

Li‐Tan Yang, Ping Fan, Zulifeiya Musha, Yueerguli Yusufuaji et al.
Frontiers in Cardiovascular Medicine
Cardiovascular Syncope and Autonomic Disorders
article

Evaluation of the clinical value of heart rate variability in predicting vasovagal syncope

Li‐Tan Yang, Ping Fan, Zulifeiya Musha, Yueerguli Yusufuaji, Baopeng Tang, Li Men
article en

Abstract

HRV parameters are associated with the occurrence of VVS. As a noninvasive and continuous physiological biomarker, HRV may aid in the clinical screening, risk stratification, and phenotypic classification of patients with suspected VVS.

Frontiers in Cardiovascular MedicineVol. 12
Xinjiang Medical University (CN), First Affiliated Hospital of Xinjiang Medical University (CN)
Xinjiang Medical University
Openalex Percentile: Top 82%
Cardiovascular Syncope and Autonomic Disorders
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.