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Journal Abstract Search

122 related items for PubMed ID: 2233385

  • 21. Computer-Interpreted Electrocardiograms: Benefits and Limitations.
    Schläpfer J, Wellens HJ.
    J Am Coll Cardiol; 2017 Aug 29; 70(9):1183-1192. PubMed ID: 28838369
    [Abstract] [Full Text] [Related]

  • 22. Development of an automated Selvester Scoring System for estimating the size of myocardial infarction from the electrocardiogram.
    Horácek BM, Warren JW, Albano A, Palmeri MA, Rembert JC, Greenfield JC, Wagner GS.
    J Electrocardiol; 2006 Apr 29; 39(2):162-8. PubMed ID: 16580413
    [Abstract] [Full Text] [Related]

  • 23. Common standards for quantitative electrocardiography: goals and main results. CSE Working Party.
    Willems JL, Arnaud P, van Bemmel JH, Degani R, Macfarlane PW, Zywietz C.
    Methods Inf Med; 1990 Sep 29; 29(4):263-71. PubMed ID: 2233372
    [Abstract] [Full Text] [Related]

  • 24. Artificial neural networks and ECG interpretation. Use and abuse.
    Dassen WR, Mulleneers RG, den Dulk K, Talmon JL.
    J Electrocardiol; 1993 Sep 29; 26 Suppl():61-5. PubMed ID: 8189149
    [Abstract] [Full Text] [Related]

  • 25. PLI cancellation in ECG signal based on adaptive filter by using Wiener-Hopf equation for providing initial condition.
    Manosueb A, Koseeyaporn J, Wardkein P.
    Comput Math Methods Med; 2014 Sep 29; 2014():471409. PubMed ID: 25147577
    [Abstract] [Full Text] [Related]

  • 26.
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    [No Abstract] [Full Text] [Related]

  • 27. Computer-assisted interpretation of electro- and vectorcardiograms. Chapter IV. Achievements in the field of computer-assisted interpretation of electrocardiograms.
    Brohet C.
    Rev Inst Hyg Mines (Hasselt); 1980 Sep 29; 35(4):201-64. PubMed ID: 7015461
    [Abstract] [Full Text] [Related]

  • 28.
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  • 29. Evaluation of ECG interpretation systems: signal analysis.
    Zywietz C, van Bemmel JH, Degani R.
    Methods Inf Med; 1990 Sep 29; 29(4):298-307. PubMed ID: 2233376
    [Abstract] [Full Text] [Related]

  • 30. Comparative accuracy of automated computer analysis versus physicans in training in the interpretation of electrocardiograms.
    Sekiguchi K, Kanda T, Osada M, Tsunoda Y, Kodajima N, Fukumura Y, Suzuki T, Kobayashi I.
    J Med; 1999 Sep 29; 30(1-2):75-81. PubMed ID: 10515243
    [Abstract] [Full Text] [Related]

  • 31. A classification tree approach for cardiac ischemia detection using spatiotemporal information from three standard ECG leads.
    Fayn J.
    IEEE Trans Biomed Eng; 2011 Jan 29; 58(1):95-102. PubMed ID: 20813629
    [Abstract] [Full Text] [Related]

  • 32. Automated electrocardiogram analysis: the state of the art.
    Bessette F, Nguyen L.
    Med Inform (Lond); 1989 Jan 29; 14(1):43-51. PubMed ID: 2657271
    [Abstract] [Full Text] [Related]

  • 33. [Computers in biomedical research: I. Analysis of bioelectrical signals].
    Vivaldi EA, Maldonado P.
    Rev Med Chil; 2001 Aug 29; 129(8):955-62. PubMed ID: 11680971
    [Abstract] [Full Text] [Related]

  • 34. Autoadaptivity and optimization in distributed ECG interpretation.
    Augustyniak P.
    IEEE Trans Inf Technol Biomed; 2010 Mar 29; 14(2):394-400. PubMed ID: 20064764
    [Abstract] [Full Text] [Related]

  • 35. Distributed computing methodology for training neural networks in an image-guided diagnostic application.
    Plagianakos VP, Magoulas GD, Vrahatis MN.
    Comput Methods Programs Biomed; 2006 Mar 29; 81(3):228-35. PubMed ID: 16476503
    [Abstract] [Full Text] [Related]

  • 36. [A strategy of ECG classification based on SVM].
    Tang X, Tang L, Mo Z.
    Sheng Wu Yi Xue Gong Cheng Xue Za Zhi; 2008 Apr 29; 25(2):246-9. PubMed ID: 18610599
    [Abstract] [Full Text] [Related]

  • 37. Will the electrocardiograph replace the electrocardiographer?
    Rautaharju PM.
    J Electrocardiol; 1993 Apr 29; 26 Suppl():158-63. PubMed ID: 8189120
    [Abstract] [Full Text] [Related]

  • 38. Bedside serial comparison of electrocardiograms.
    Macfarlane PW, Pahlm O.
    J Electrocardiol; 1988 Apr 29; 21 Suppl():S159-62. PubMed ID: 3063768
    [Abstract] [Full Text] [Related]

  • 39. Application of minimal spanning trees in glioma grading--a CLIPPER program for the calculation and construction of minimal spanning trees.
    Kolles H, Ludt H, Vince GH, Feiden W.
    Comput Methods Programs Biomed; 1994 Mar 29; 42(3):201-6. PubMed ID: 8062551
    [Abstract] [Full Text] [Related]

  • 40. [Research on automated detection technology of standard 12 lead synchronous ECG signal].
    Yan RQ, Zhan YQ, Hu WG, Zhang YH.
    Zhongguo Yi Liao Qi Xie Za Zhi; 2002 Mar 29; 26(2):88-91. PubMed ID: 16104168
    [Abstract] [Full Text] [Related]

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