Autodetection of J Wave Based on Random Forest with Synchrosqueezed Wavelet Transform.

Dengao Li, Xinyan Liu, Jumin Zhao, Jie Zhou

Open access · hybridAbstract read

In one paragraph

Article in BioMed research international, 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

0.2field-weighted citation impact, top 51% 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, 1 citations in OpenAlex.

No citing paper in PubMed yet.

4 · The record

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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

4 authors at 1 institution in 1 country.

Dengao LiCollege of Information and Computer, Taiyuan University of Technology, Taiyuan, China.ORCID 0000-0002-8310-7684

Xinyan LiuCollege of Information and Computer, Taiyuan University of Technology, Taiyuan, China.ORCID 0000-0002-0901-5108

Jumin ZhaoCollege of Information and Computer, Taiyuan University of Technology, Taiyuan, China.ORCID 0000-0002-9049-4053

Jie ZhouCollege of Information and Computer, Taiyuan University of Technology, Taiyuan, China.

Taiyuan University of Technology · CN

Funding

Dopamine, prediction error, and human alcohol consumptionR21AA016901 · NIAAA · INDIANA UNIVERSITY INDIANAPOLIS · PI YODER, KARMEN K · 2008 to 2009

$401k

NIAAA NIH HHS R21 AA016901

6 · The paper itself

Abstract

J wave is the bulge generated in the descending slope of the terminal portion of the QRS complex in the electrocardiogram. The presence of J wave may lead to sudden death. However, the diagnosis of J wave variation only depends on doctor's clinical experiences at present and missed diagnosis is easy to occur. In this paper, a new method is proposed to realize the automatic detection of J wave. First, the synchrosqueezed wavelet transform is used to obtain the precise time-frequency information of the ECG. Then, the inverse transformation of SST is computed to get the intrinsic mode function of the ECG. At last, the time-frequency features and SST-based and the entropy features based on modes are fed to Random forest to realize the automatic detection of J wave. As the experimental results shown, the proposed method has achieved the highest accuracy, sensitivity, and specificity compared with existing techniques.

Indexed as

ElectrocardiographyWavelet AnalysisAlgorithmsArrhythmias, CardiacHumansSensitivity and SpecificitySignal Processing, Computer-Assisted

Identifiers

PMID30057906

DOI10.1155/2018/1315357

PMCPMC6051278

OpenAlexW2810080288

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LicenceCC BY

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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.