Artigo Acesso aberto Revisado por pares

Recommendations for Standardization of Electrocardiographic and Vectorcardiographic Leads

1954; Lippincott Williams & Wilkins; Volume: 10; Issue: 4 Linguagem: Inglês

10.1161/01.cir.10.4.564

ISSN

1524-4539

Autores

Frank N. Wilson, Charles E. Kossmann, George E. Burch, Emanuel Goldberger, Ashton Graybiel, Hans H. Hecht, Franklin D. Johnston, E. Lepeschkin, Gordon B. Myers,

Tópico(s)

Cardiac pacing and defibrillation studies

Resumo

HomeCirculationVol. 10, No. 4Recommendations for Standardization of Electrocardiographic and Vectorcardiographic Leads Free AccessResearch ArticlePDF/EPUBAboutView PDFSections ToolsAdd to favoritesDownload citationsTrack citationsPermissions ShareShare onFacebookTwitterLinked InMendeleyReddit Jump toFree AccessResearch ArticlePDF/EPUBRecommendations for Standardization of Electrocardiographic and Vectorcardiographic Leads FRANK N. WILSON, CHARLES E. KOSSMANN, GEORGE E. BURCH, EMANUEL GOLDBERGER, ASHTON GRAYBIEL, HANS H. HECHT, FRANKLIN D. JOHNSTON, EUGENE LEPESCHKIN and GORDON B. MYERS FRANK N. WILSONFRANK N. WILSON , CHARLES E. KOSSMANNCHARLES E. KOSSMANN , GEORGE E. BURCHGEORGE E. BURCH , EMANUEL GOLDBERGEREMANUEL GOLDBERGER , ASHTON GRAYBIELASHTON GRAYBIEL , HANS H. HECHTHANS H. HECHT , FRANKLIN D. JOHNSTONFRANKLIN D. JOHNSTON , EUGENE LEPESCHKINEUGENE LEPESCHKIN and GORDON B. MYERSGORDON B. MYERS Originally published1 Oct 1954https://doi.org/10.1161/01.CIR.10.4.564Circulation. 1954;10:564–573 Previous Back to top Next FiguresReferencesRelatedDetailsCited By Arora N and Mishra B Origins of ECG and Evolution of Automated DSP Techniques: A Review, IEEE Access, 10.1109/ACCESS.2021.3119630, 9, (140853-140880) Chen L, Jiang Z, Almeida T, Schlindwein F, Shoker J, Ng G, Zhou H and Li X (2021) Spatio-Temporal ECG Network for Detecting Cardiac Disorders from Multi-Lead ECGs 2021 Computing in Cardiology (CinC), 10.23919/CinC53138.2021.9662757, 978-1-6654-7916-5, (1-4) Xie Y, Qin L, Tan H, Li X, Liu B and Wang H (2021) Automatic 12-Leading Electrocardiogram Classification Network with Deformable Convolution 2021 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC), 10.1109/EMBC46164.2021.9630227, 978-1-7281-1179-7, (882-885) Ye X and Lu Q (2020) Automatic Classification of 12-lead ECG Based on Model Fusion 2020 13th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics (CISP-BMEI), 10.1109/CISP-BMEI51763.2020.9263559, 978-0-7381-0545-1, (733-738) Birnbaum Y, Fiol M, Nikus K, Garcia Niebla J, Bacharova L, Dubner S, Zareba W, Macfarlane P, Ribeiro A, Cygankiewicz I and Bayes de Luna A (2020) A counterpoint paper: Comments on the electrocardiographic part of the 2018 Fourth Universal Definition of Myocardial Infarction endorsed by the International Society of Electrocardiology and the International Society for Holter and Noninvasive Electrocardiology, Annals of Noninvasive Electrocardiology, 10.1111/anec.12786, 25:5, Online publication date: 1-Sep-2020. 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Storlund R, Rosen D and Trites A (2021) Electrocardiographic Scaling Reveals Differences in Electrocardiogram Interval Durations Between Marine and Terrestrial Mammals, Frontiers in Physiology, 10.3389/fphys.2021.690029, 12 Ye X, Huang Y and Lu Q (2022) Automatic Multichannel Electrocardiogram Record Classification Using XGBoost Fusion Model, Frontiers in Physiology, 10.3389/fphys.2022.840011, 13 Teregulov Y, Atsel E, Salyamova L, Chuvashaeva F, Teregulov A and Miliutina I (2022) Development of QT interval evaluation methods in the presence of left bundle branch block, Medical alphabet, 10.33667/2078-5631-2022-11-13-18:11, (13-18) October 1, 1954Vol 10, Issue 4 Advertisement Article InformationMetrics © 1954 American Heart Association, Inc.https://doi.org/10.1161/01.CIR.10.4.564 Originally publishedOctober 1, 1954 PDF download Advertisement

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