Evidence map›Paper›PMID 35754521›Full record

ArticleComputing in cardiology2021

Interactive Simulation of the ECG: Effects of Cell Types, Distributions, Shapes and Duration.

Jorge Ramirez Ortiz, Abouzar Kaboudian, Ilija Uzelac, Shahriar Iravanian, Elizabeth M Cherry, Flavio H Fenton

Open access · greenAbstract read
In one paragraph

Article in Computing in cardiology, 2021. 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, top 71% of its field
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, 0 citations in OpenAlex.

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

6 authors at 3 institutions in 1 country.

Jorge Ramirez OrtizCollege of Arts and Sciences, University of Colorado Boulder, Boulder, CO, USA.
Abouzar KaboudianSchool of Physics, Georgia Institute of Technology, Atlanta, GA, USA.
Ilija UzelacSchool of Physics, Georgia Institute of Technology, Atlanta, GA, USA.
Shahriar IravanianDivision of Cardiology, Emory University, Atlanta, GA, USA.
Elizabeth M CherrySchool of Computational Science and Engineering, Georgia Institute of Technology, Atlanta, GA, USA.
Flavio H FentonSchool of Physics, Georgia Institute of Technology, Atlanta, GA, USA.
Georgia Institute of Technology · USEmory University · USUniversity of Colorado Boulder · US

Funding

Integrative High-Resolution Experimental and Multiscale Modeling of Arrhythmias to Optimize Low Energy Anti-fibrillation Pacing (LEAP)R01HL143450 · NHLBI · GEORGIA INSTITUTE OF TECHNOLOGY · PI Flavio H Fenton · 2018 to 2026
$3.2M
NHLBI NIH HHS R01 HL143450
6 · The paper itself

Abstract

The shape of the ECG depends on the lead positions but also on the distribution and dispersion of different cell types and their action potential (AP) durations and shapes. We present an interactive JavaScript program that allows fast simulations of the ECG by solving and displaying the dynamics of cardiac cells in tissue using a web browser. We use physiologically accurate ODE models of cardiac cells of different types including SA node, right and left atria, AV node, Purkinje, and right and left ventricular cells with dispersion that accounts for apex-to-base and epi-to-endo variations. The software allows for real-time variations for each cell type and their spatial range so as to identify how the shape of the ECG varies as a function of cell type, distribution, excitation duration and AP shape. The propagation of the wave is visualized in real time through all the regions as parameters are kept fixed or varied to modify ECG morphology. The code solves thousands of simulated cells in real time and is independent of operating system, so it can run on PCs, laptops, tablets and cellphones. This program can be used to teach students, fellows and the general public how and why lead positions and the different cell physiology in the heart affect the various features of the ECG.

Identifiers

PMID35754521
PMCPMC9228611
OpenAlexW4206707484

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

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.