Evidence map›Paper›PMID 30396342›Full record

ArticleBiomedical engineering online2018

Retrieving hidden atrial repolarization waves from standard surface ECGs.

Wei-Hua Tang, Wen-Hsien Ho, Yenming J Chen

Open access · goldAbstract read
In one paragraph

Article in Biomedical engineering online, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.2field-weighted citation impact, top 41% 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

2 citing papers in PubMed, 3 citations in OpenAlex.

  1. Sexual Dimorphism in the Development of Cardiometabolic Syndrome.Handbook of experimental pharmacology · 2026
    Review
  2. Review
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

3 authors at 3 institutions in 1 country.

Wei-Hua TangDivision of Cardiology, Department of Internal Medicine, National Yang-Ming University Hospital, Yilan, Taiwan.
Wen-Hsien HoDepartment of Healthcare Administration and Medical Informatics, Kaohsiung Medical University, 100 Shin-Chuan 1st Road, Kaohsiung, 807, Taiwan. whho@kmu.edu.tw.
Yenming J ChenDepartment of Logistics Management, National Kaohsiung University of Science and Technology, 1 University Road, Yenchao, Kaohsiung, 824, Taiwan. yjjchen@nkust.edu.tw.
Kaohsiung Medical University · TWNational Kaohsiung University of Science and TechnologyNational Yang Ming Chiao Tung University · TW

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThis study estimates atrial repolarization activities (Ta waves), which are typically hidden most of the time from body surface electrocardiography when diagnosing cardiovascular diseases. The morphology of Ta waves has been proven to be an important marker for the early sign of inferior injury, such as acute atrial infarction, or arrhythmia, such as atrial fibrillation. However, Ta waves are usually unseen except during conduction system malfunction, such as long QT interval or atrioventricular block. Therefore, justifying heart diseases based on atrial repolarization becomes impossible in sinus rhythm.

methodsWe obtain TMPs in the atrial part of the myocardium which reflects the correct excitation sequence starting from the atrium to the end of the apex.

resultsThe resulting TMP shows the hidden atrial part of ECG waves.

conclusionsThis extraction makes many diseases, such as acute atrial infarction or arrhythmia, become easily diagnosed.

Indexed as

ElectrocardiographySignal Processing, Computer-AssistedAtrial FunctionDiffusionAtrial repolarization wavesElectrophysiology modelKalman filterMonte Carlo Markov chainReaction–diffusion system

Identifiers

PMID30396342
PMCPMC6219014
OpenAlexW2898933080

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.