Evidence map›Paper›PMID 35126172›Full record

ArticleFrontiers in physiology2021

Similarity Score for the Identification of Active Sites in Patients With Atrial Fibrillation.

Vasanth Ravikumar, Sanket Thakare, Xiangzhen Kong, Henri Roukoz, Elena G Tolkacheva

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Article in Frontiers in physiology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

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2citing papers in PubMed
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1 · What the graph read from it

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3 · Its place in the literature

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2 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Vasanth RavikumarDepartment of Electrical and Computer Engineering, University of Minnesota, Minneapolis, MN, United States.
Sanket ThakareDepartment of Biomedical Engineering, University of Minnesota, Minneapolis, MN, United States.
Xiangzhen KongDepartment of Electrical and Computer Engineering, University of Minnesota, Minneapolis, MN, United States.
Henri RoukozDivision of Cardiology, Department of Medicine, University of Minnesota, Minneapolis, MN, United States.
Elena G TolkachevaDepartment of Biomedical Engineering, University of Minnesota, Minneapolis, MN, United States.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAtrial fibrillation (AF) is the most common cardiac arrhythmia and precursor to other cardiac diseases. Catheter ablation is associated with limited success rates in patients with persistent AF. Currently, existing mapping systems fail to identify critical target sites for ablation. Recently, we proposed and validated several individual techniques, such as dominant frequency (DF), multiscale frequency (MSF), kurtosis (Kt), and multiscale entropy (MSE), to identify active sites of arrhythmias using simulated intracardiac electrograms (iEGMs). However, the individual performances of these techniques to identify arrhythmogenic substrates are not reliable.

objectiveThis study aimed to develop a similarity score using various iEGM analysis techniques to more accurately identify the spatial location of active sites of arrhythmia in patients with AF.

methodsClinical bipolar iEGMs were obtained from patients with AF who underwent either successful (

resultsIndividual techniques successfully discriminated between successful and unsuccessful AF ablation patients but were not reliable in identifying active spatial sites of AF. However, the proposed similarity score was able to pinpoint the spatial sites with high values (active AF sites) that were observed only in patients with unsuccessful AF termination, suggesting that these active sites were missed during the ablation procedure.

conclusionArrhythmogenic substrates with abnormal electrical activity are identified in patients with unsuccessful AF termination after catheter ablation, suggesting clinical efficacy of similarity score.

Indexed as

ablationatrial fibrillationearth mover’s distance (EMD)signal processingsimilarity score

Identifiers

PMID35126172
PMCPMC8811172

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