Evidence map›Paper›PMID 39150768›Full record

ArticlePhysiological measurement2024

ECG-Image-Kit: a synthetic image generation toolbox to facilitate deep learning-based electrocardiogram digitization.

Kshama Kodthalu Shivashankara, Deepanshi, Afagh Mehri Shervedani, Gari D Clifford, Matthew A Reyna, Reza Sameni

Abstract read
In one paragraph

Article in Physiological measurement, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Article
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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.

Kshama Kodthalu ShivashankaraSchool of Electrical and Computer Engineering, Georgia Institute of Technology, Atlanta, GA 30332, United States of America.
DeepanshiDepartment of Biomedical Informatics, Emory University, Atlanta, GA 30322, United States of America.ORCID 0000-0001-5210-0722
Afagh Mehri ShervedaniElectrical and Computer Engineering Department, University of Illinois Chicago, Chicago, IL 60607, United States of America.
Gari D CliffordDepartment of Biomedical Informatics, Emory University, Atlanta, GA 30322, United States of America.ORCID 0000-0002-5709-201X
Matthew A ReynaDepartment of Biomedical Informatics, Emory University, Atlanta, GA 30322, United States of America.ORCID 0000-0003-4688-7965
Reza SameniDepartment of Biomedical Informatics, Emory University, Atlanta, GA 30322, United States of America.ORCID 0000-0003-4913-6825

Funding

Research Resource for Complex Physiologic SignalsR01EB030362 · NIBIB · BETH ISRAEL DEACONESS MEDICAL CENTER · PI GOLDBERGER, ARY LOUIS · 2020 to 2025
$5.8M
NIBIB NIH HHS R01 EB030362
6 · The paper itself

Abstract

PubMed holds no abstract for this paper.

Indexed as

Deep LearningElectrocardiographyImage Processing, Computer-AssistedArtifactsHumansSignal Processing, Computer-AssistedSoftwaredata augmentationdeep learningdenoising CNNECG digitizationelectrocardiogram (ECG)synthetic data

Identifiers

PMID39150768
PMCPMC11135178

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.