Evidence map›Paper›PMID 38534567›Full record

ArticleBioengineering (Basel, Switzerland)2024

Wearable 12-Lead ECG Acquisition Using a Novel Deep Learning Approach from Frank or EASI Leads with Clinical Validation.

Fan Fu, Dacheng Zhong, Jiamin Liu, Tianxiang Xu, Qin Shen, Wei Wang, Songsheng Zhu, Jianqing Li

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Bioengineering (Basel, Switzerland), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Review
  3. 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

8 authors.

Fan FuSchool of Biomedical Engineering and Informatics, Nanjing Medical University, Nanjing 211166, China.
Dacheng ZhongSchool of Biomedical Engineering and Informatics, Nanjing Medical University, Nanjing 211166, China.
Jiamin LiuSchool of Biomedical Engineering and Informatics, Nanjing Medical University, Nanjing 211166, China.
Tianxiang XuSchool of Biomedical Engineering and Informatics, Nanjing Medical University, Nanjing 211166, China.ORCID 0000-0003-2661-0491
Qin ShenThe First Affiliated Hospital of Nanjing Medical University, Nanjing 210029, China.
Wei WangThe Jiangsu Engineering Research Center of Province Intelligent Wearable Monitoring and Rehabilitation Device, Nanjing Medical University, Nanjing 211166, China.
Songsheng ZhuSchool of Biomedical Engineering and Informatics, Nanjing Medical University, Nanjing 211166, China.ORCID 0000-0002-4645-9322
Jianqing LiThe Engineering Research Center of Intelligent Theranostics Technology and Instruments, Ministry of Education, Nanjing Medical University, Nanjing 211166, China.ORCID 0000-0002-3524-8933

Funding

National Nature Science Foundation of China 62001240National Nature Science Foundation of China 62071241National Nature Science Foundation of China 62075098National Nature Science Foundation of China 81871444The Key Research and Development Program of Jiangsu BE2022160The Leading-edge Technology and Basic Research Program of Jiangsu BK20192004DThe National Key Research and Development Program of China 2022YFC2405600The Postgraduate Research and Practice Innovation Program of Jiangsu Province KYCX22_1779
6 · The paper itself

Abstract

The 12-lead electrocardiogram (ECG) is crucial in assessing patient decisions. However, portable ECG devices capable of acquiring a complete 12-lead ECG are scarce. For the first time, a deep learning-based method is proposed to reconstruct the 12-lead ECG from Frank leads (V

Indexed as

12-lead ECG reconstructiondeep neural networkEASI lead systemelectrocardiogram

Identifiers

PMID38534567
PMCPMC10967908

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.