ArticleDiagnostics (Basel, Switzerland)2026
A Screening Method for Determining Left Ventricular Systolic Function Based on Spectral Analysis of a Single-Channel Electrocardiogram Using Machine Learning Algorithms.
Natalia Kuznetsova, Aleksandr Suvorov, Daria Gognieva, Zaki Fashafsha, Dmitrii Podgalo, Dinara Mesitskaya, Dmitry Shchekochikhin, Vsevolod Sedov, Petr Chomakhidze, Philippe Kopylov
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In one paragraphArticle in Diagnostics (Basel, Switzerland), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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1 · What the graph read from itWhat it found
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5 · Who and what moneyAuthors and funding
10 authors.
Natalia KuznetsovaInstitute of Personalized Cardiology of The Center "Digital Biodesign and Personalized Healthcare" of Biomedical Science and Technology Park, Federal State Autonomous Educational Institution of Higher Education I.M. Sechenov First Moscow State Medical University of the Ministry of Health of the Russian Federation (Sechenovskiy University), 19991 Moscow, Russia.ORCID 0000-0003-4717-1272 Aleksandr SuvorovInstitute of Personalized Cardiology of The Center "Digital Biodesign and Personalized Healthcare" of Biomedical Science and Technology Park, Federal State Autonomous Educational Institution of Higher Education I.M. Sechenov First Moscow State Medical University of the Ministry of Health of the Russian Federation (Sechenovskiy University), 19991 Moscow, Russia.ORCID 0000-0002-2224-0019 Daria GognievaInstitute of Personalized Cardiology of The Center "Digital Biodesign and Personalized Healthcare" of Biomedical Science and Technology Park, Federal State Autonomous Educational Institution of Higher Education I.M. Sechenov First Moscow State Medical University of the Ministry of Health of the Russian Federation (Sechenovskiy University), 19991 Moscow, Russia.ORCID 0000-0002-0451-2009 Zaki FashafshaInstitute of Personalized Cardiology of The Center "Digital Biodesign and Personalized Healthcare" of Biomedical Science and Technology Park, Federal State Autonomous Educational Institution of Higher Education I.M. Sechenov First Moscow State Medical University of the Ministry of Health of the Russian Federation (Sechenovskiy University), 19991 Moscow, Russia.ORCID 0000-0001-5473-3101 Dmitrii PodgaloInstitute for Clinical Medicine, Sechenov First Moscow State Medical University, 19991 Moscow, Russia.ORCID 0009-0006-3463-6447 Dinara MesitskayaDepartment of Cardiology, Functional and Ultrasound Diagnostics of N.V. Sklifosovsky Institute for Clinical Medicine, Sechenov First Moscow State Medical University, 19991 Moscow, Russia.ORCID 0000-0003-3541-6041 Dmitry ShchekochikhinThe City Clinical Hospital No. 1 named after N.I. Pirogov, 119049 Moscow, Russia.ORCID 0000-0002-8209-2791 Vsevolod SedovDepartment of Cardiology, Functional and Ultrasound Diagnostics of N.V. Sklifosovsky Institute for Clinical Medicine, Sechenov First Moscow State Medical University, 19991 Moscow, Russia.ORCID 0000-0003-2326-9347 Petr ChomakhidzeInstitute of Personalized Cardiology of The Center "Digital Biodesign and Personalized Healthcare" of Biomedical Science and Technology Park, Federal State Autonomous Educational Institution of Higher Education I.M. Sechenov First Moscow State Medical University of the Ministry of Health of the Russian Federation (Sechenovskiy University), 19991 Moscow, Russia.ORCID 0000-0003-1485-6072 Philippe KopylovInstitute of Personalized Cardiology of The Center "Digital Biodesign and Personalized Healthcare" of Biomedical Science and Technology Park, Federal State Autonomous Educational Institution of Higher Education I.M. Sechenov First Moscow State Medical University of the Ministry of Health of the Russian Federation (Sechenovskiy University), 19991 Moscow, Russia.ORCID 0000-0001-5124-6383 Funding
grant from the Moscow government 0803-6/23
6 · The paper itselfAbstract
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Indexed as
artificial intelligenceECGleft ventricular systolic dysfunctionmachine learningspectral analysis
Identifiers
PMID41594238
PMCPMC12840381
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