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Dataset Information

Accuracy and interpretability of smartwatch electrocardiogram for early detection of atrial fibrillation: A systematic review and meta-analysis.


ABSTRACT:

Background

The prevalence of atrial fibrillation (AFib) continues to increase globally, posing a significant risk for serious cardiovascular complications, such as ischemic stroke and thromboembolism. Smartwatch single-lead electrocardiogram (ECG) can be a practical and accurate early detection tool for AFib.

Objective

The aim of this study was to fill the research gap in evaluating the accuracy and interpretability of smartwatch ECG for early AFib detection.

Methods

Data derived from indexed literature in the Scopus, Scilit, PubMed, Google Scholar, Web of Science, IEEE, and Cochrane Library databases (as of June 1, 2024) were systematically screened and extracted. The quantitative synthesis was performed using a two-level mixed-effects logistic regression model, as w

SUBMITTER: Iqhrammullah M 

PROVIDER: S-EPMC12096014 | biostudies-literature | 2025 Jun

REPOSITORIES: biostudies-literature