Automated training data generation for multiple DNNs in ECG analysis.

Saved in:
Bibliographic Details
Title: Automated training data generation for multiple DNNs in ECG analysis.
Authors: Jung, Ji‐Myoung1, Choi, Seong‐Wook1,2, swchoe@kangwon.ac.kr
Source: ETRI Journal; Apr2026, Vol. 48 Issue 2, p272-286, 15p
Database: Applied Science & Technology Source
Full text is not displayed to guests.
FullText Links:
  – Type: pdflink
Text:
  Availability: 1
Header DbId: aci
DbLabel: Applied Science & Technology Source
An: 192937538
AccessLevel: 2
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
IllustrationInfo
Items – Name: Title
  Label: Title
  Group: Ti
  Data: Automated training data generation for multiple DNNs in ECG analysis.
– Name: Author
  Label: Authors
  Group: Au
  Data: <searchLink fieldCode="AU" term="%22Jung%2C+Ji‐Myoung%22">Jung, Ji‐Myoung</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AU" term="%22Choi%2C+Seong‐Wook%22">Choi, Seong‐Wook</searchLink><relatesTo>1,2</relatesTo>, <i>swchoe@kangwon.ac.kr</i>
– Name: TitleSource
  Label: Source
  Group: Src
  Data: <searchLink fieldCode="JN" term="%22ETRI+Journal%22">ETRI Journal</searchLink>; Apr2026, Vol. 48 Issue 2, p272-286, 15p
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=aci&AN=192937538
RecordInfo BibRecord:
  BibEntity:
    Identifiers:
      – Type: doi
        Value: 10.4218/etrij.2025-0073
    Languages:
      – Code: eng
        Text: English
    PhysicalDescription:
      Pagination:
        PageCount: 15
        StartPage: 272
    Titles:
      – TitleFull: Automated training data generation for multiple DNNs in ECG analysis.
        Type: main
  BibRelationships:
    HasContributorRelationships:
      – PersonEntity:
          Name:
            NameFull: Jung, Ji‐Myoung
      – PersonEntity:
          Name:
            NameFull: Choi, Seong‐Wook
    IsPartOfRelationships:
      – BibEntity:
          Dates:
            – D: 01
              M: 04
              Text: Apr2026
              Type: published
              Y: 2026
          Identifiers:
            – Type: issn-print
              Value: 12256463
          Numbering:
            – Type: volume
              Value: 48
            – Type: issue
              Value: 2
          Titles:
            – TitleFull: ETRI Journal
              Type: main
ResultId 1