Evidence map›Paper›PMID 42051426›Full record

ReviewFrontiers in cardiovascular medicine2026

From signal analysis to clinical practice: the use of peak frequency in mapping and ablation.

Omnia Kamel, Mohamed Abdelazem, Sherien Awad, Mohamed Sharief, Ahmed Ammar

Abstract readReview
In one paragraph

Review in Frontiers in cardiovascular medicine, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

5 authors.

Omnia KamelDepartment of Cardiology, Aswan Heart Center, Aswan, Egypt.
Mohamed AbdelazemDepartment of Cardiology, UMass Chan-Baystate Medical Center, Springfield, MA, United States.
Sherien AwadDepartment of Cardiology, Nasser Institute Hospital for Research and Treatment, Cairo, Egypt.
Mohamed ShariefCardiology Department, Lancashire Teaching Hospital NHS Foundation Trust, Preston, United Kingdom.
Ahmed AmmarDepartment of Cardiology, Worcestershire Acute Hospitals NHS Trust, Worcester, United Kingdom.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Differentiating near-field (NF) from far-field (FF) electrograms (EGMs) is essential for accurate mapping and ablation of cardiac arrhythmias. With the advent of high density mapping systems, this distinction has traditionally relied on bipolar voltage analysis and activation mapping, while the evaluation of signal frequency has remained largely underexplored. Recently, a novel algorithm called peak frequency (PF) has been introduced as a complementary tool to conventional mapping strategies. By applying Wavelet transformation (WT), PF enables objective quantification of signal frequency, accurate identification of FF electrograms, and visualization of high frequency components on electro-anatomical maps. This review examines the role of peak frequency in mapping and ablation, spanning from fundamental signal analysis to clinical applications.

Indexed as

atrial fibrillationatrial tachycardiacritical isthmusfar-fieldnear-fieldomnipolar technologypeak frequencyventricular tachycardia

Identifiers

PMID42051426
PMCPMC13111954

What OpenQuestion holds

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Registered trials

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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.