Evidence map›Paper›PMID 31681821›Full record

ArticleComputing in cardiology2018

Developing an Iterative Tracking Algorithm to Guide a Catheter Towards Atrial Fibrillation Rotor Sources in Simulated Fibrotic Tissue.

Prasanth Ganesan, Hussein Zilouchian, Elizabeth M Cherry, Arkady M Pertsov, Behnaz Ghoraani

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Computing in cardiology, 2018. 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

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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.

Prasanth GanesanDepartment of Electrical Engineering, Florida Atlantic University, FL USA.
Hussein ZilouchianDepartment of Electrical Engineering, Florida Atlantic University, FL USA.
Elizabeth M CherrySchool of Mathematical Sciences, Rochester Institute of Technology, NY USA.
Arkady M PertsovDepartment of Pharmocology, Upstate Medical University, NY USA.
Behnaz GhoraaniDepartment of Electrical Engineering, Florida Atlantic University, FL USA.

Funding

Catheter Guidance Algorithm for Identification of Atrial Fibrillation Ablation TargetsR15HL127663 · NHLBI · ROCHESTER INSTITUTE OF TECHNOLOGY · PI GHORAANI, BEHNAZ · 2015 to 2015
$456k
NHLBI NIH HHS R15 HL127663
6 · The paper itself

Abstract

Locating atrial fibrillation (AF) rotor sources can help target ablation therapy for AF. Our aim was to develop a catheter-tracking algorithm to locate AF rotor sources using a conventional 20-electrode circular catheter. We simulated rotor-driven arrhythmias in homogeneous and fibrotic human atrial tissue and evaluated the algorithm for different initial catheter positions. The algorithm guided and detected a rotor with a success rate of greater than 97.9% independently of the initial position of the catheter with an accuracy of greater than 2.3±1.4 mm.

Identifiers

PMID31681821
PMCPMC6824711

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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.