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Narrative review examines peak frequency algorithm versus conventional mapping for cardiac arrhythmias

Narrative review examines peak frequency algorithm versus conventional mapping for cardiac arrhythmi…
Photo by Logan Voss / Unsplash
Key Takeaway
Note that this narrative review lacks specific outcome data for the PF algorithm in cardiac arrhythmias.

This narrative review focuses on the application of a peak frequency (PF) algorithm based on Wavelet transformation (WT) in the context of cardiac arrhythmias. The scope of the article is to compare this computational method against conventional mapping strategies, which typically rely on bipolar voltage analysis and activation mapping. The authors aim to provide an overview of the current state of this technology within the field of electrophysiology.

The review does not present data from a specific study population, nor does it report a sample size, intervention details beyond the algorithmic description, or adverse events. Primary and secondary outcomes are not reported in the provided evidence. Therefore, no pooled effect sizes or specific quantitative results can be derived from this source. The discussion remains qualitative, relying on the synthesis of the authors' perspective rather than statistical analysis of trial data.

Limitations acknowledged by the authors or inherent to the narrative format include the absence of reported safety data, discontinuation rates, or tolerability profiles. The review does not specify the setting in which these algorithms are applied, nor does it provide a defined follow-up period. Because the evidence is observational in nature and lacks primary trial data, causal language regarding the efficacy or safety of the PF algorithm is avoided. The practice relevance is not explicitly defined in the source material, suggesting that clinicians should await more robust evidence before altering standard mapping protocols based solely on this narrative.

Study Details

Study typeSystematic review
EvidenceLevel 1
PublishedApr 2026
View Original 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.
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