Malignant arrhythmia risk assessment based on lead-I mobile ECG measurements using machine learning.
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| Title: | Malignant arrhythmia risk assessment based on lead-I mobile ECG measurements using machine learning. |
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| Authors: | Tuboly G; Department of Electrical Engineering and Information Systems, University of Pannonia, Egyetem u. 10, 8200 Veszprém, Hungary. Electronic address: tuboly.gergely@mik.uni-pannon.hu., Kiss O; Heart and Vascular Center, Semmelweis University, Városmajor u. 68, 1122 Budapest, Hungary. Electronic address: kiss.orsolya1@med.semmelweis-univ.hu., Babity M; Heart and Vascular Center, Semmelweis University, Városmajor u. 68, 1122 Budapest, Hungary. Electronic address: babity.mate@semmelweis.hu., Zámodics M; Heart and Vascular Center, Semmelweis University, Városmajor u. 68, 1122 Budapest, Hungary. Electronic address: zamodics.mark@stud.semmelweis.hu., Merkely B; Heart and Vascular Center, Semmelweis University, Városmajor u. 68, 1122 Budapest, Hungary. Electronic address: merkely.bela@kardio.sote.hu., Kozmann G; Department of Electrical Engineering and Information Systems, University of Pannonia, Egyetem u. 10, 8200 Veszprém, Hungary., Issa MF; Department of Electrical Engineering and Information Systems, University of Pannonia, Egyetem u. 10, 8200 Veszprém, Hungary; Department of Scientific Computing, Faculty of Computers and Artificial Intelligence, Benha University, Benha 13511, Egypt. Electronic address: mohamed.issa@fci.bu.edu.eg. |
| Source: | Journal of electrocardiology [J Electrocardiol] 2026 Mar-Apr; Vol. 95, pp. 154194. Date of Electronic Publication: 2026 Jan 13. |
| Publication Type: | Journal Article |
| Journal Info: | Publisher: Churchill Livingstone Country of Publication: United States NLM ID: 0153605 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1532-8430 (Electronic) Linking ISSN: 00220736 NLM ISO Abbreviation: J Electrocardiol Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
| FullText | Text: Availability: 0 |
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| Header | DbId: mdl DbLabel: MEDLINE Ultimate An: 41570464 AccessLevel: 2 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Malignant arrhythmia risk assessment based on lead-I mobile ECG measurements using machine learning. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AU" term="%22Tuboly+G%22">Tuboly G</searchLink>; Department of Electrical Engineering and Information Systems, University of Pannonia, Egyetem u. 10, 8200 Veszprém, Hungary. Electronic address: tuboly.gergely@mik.uni-pannon.hu.<br /><searchLink fieldCode="AU" term="%22Kiss+O%22">Kiss O</searchLink>; Heart and Vascular Center, Semmelweis University, Városmajor u. 68, 1122 Budapest, Hungary. Electronic address: kiss.orsolya1@med.semmelweis-univ.hu.<br /><searchLink fieldCode="AU" term="%22Babity+M%22">Babity M</searchLink>; Heart and Vascular Center, Semmelweis University, Városmajor u. 68, 1122 Budapest, Hungary. Electronic address: babity.mate@semmelweis.hu.<br /><searchLink fieldCode="AU" term="%22Zámodics+M%22">Zámodics M</searchLink>; Heart and Vascular Center, Semmelweis University, Városmajor u. 68, 1122 Budapest, Hungary. Electronic address: zamodics.mark@stud.semmelweis.hu.<br /><searchLink fieldCode="AU" term="%22Merkely+B%22">Merkely B</searchLink>; Heart and Vascular Center, Semmelweis University, Városmajor u. 68, 1122 Budapest, Hungary. Electronic address: merkely.bela@kardio.sote.hu.<br /><searchLink fieldCode="AU" term="%22Kozmann+G%22">Kozmann G</searchLink>; Department of Electrical Engineering and Information Systems, University of Pannonia, Egyetem u. 10, 8200 Veszprém, Hungary.<br /><searchLink fieldCode="AU" term="%22Issa+MF%22">Issa MF</searchLink>; Department of Electrical Engineering and Information Systems, University of Pannonia, Egyetem u. 10, 8200 Veszprém, Hungary; Department of Scientific Computing, Faculty of Computers and Artificial Intelligence, Benha University, Benha 13511, Egypt. Electronic address: mohamed.issa@fci.bu.edu.eg. – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%220153605%22">Journal of electrocardiology</searchLink> [J Electrocardiol] 2026 Mar-Apr; Vol. 95, pp. 154194. <i>Date of Electronic Publication: </i>2026 Jan 13. – Name: TypePub Label: Publication Type Group: TypPub Data: Journal Article – Name: TitleSource Label: Journal Info Group: Src Data: <i>Publisher: </i><searchLink fieldCode="PB" term="%22Churchill+Livingstone%22">Churchill Livingstone </searchLink><i>Country of Publication: </i>United States <i>NLM ID: </i>0153605 <i>Publication Model: </i>Print-Electronic <i>Cited Medium: </i>Internet <i>ISSN: </i>1532-8430 (Electronic) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%2200220736%22">00220736 </searchLink><i>NLM ISO Abbreviation: </i>J Electrocardiol <i>Subsets: </i>MEDLINE |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=mdl&AN=41570464 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1016/j.jelectrocard.2026.154194 Languages: – Code: eng Text: English PhysicalDescription: Pagination: StartPage: 154194 Titles: – TitleFull: Malignant arrhythmia risk assessment based on lead-I mobile ECG measurements using machine learning. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Tuboly G – PersonEntity: Name: NameFull: Kiss O – PersonEntity: Name: NameFull: Babity M – PersonEntity: Name: NameFull: Zámodics M – PersonEntity: Name: NameFull: Merkely B – PersonEntity: Name: NameFull: Kozmann G – PersonEntity: Name: NameFull: Issa MF IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 03 Text: 2026 Mar-Apr Type: published Y: 2026 Identifiers: – Type: issn-electronic Value: 1532-8430 Numbering: – Type: volume Value: 95 Titles: – TitleFull: Journal of electrocardiology Type: main |
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