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Journal Abstract Search

162 related items for PubMed ID: 8189154

  • 1. Deterministic logic versus software-based artificial neural networks in the diagnosis of atrial fibrillation.
    Yang TF, Devine B, Macfarlane PW.
    J Electrocardiol; 1993; 26 Suppl():90-4. PubMed ID: 8189154
    [Abstract] [Full Text] [Related]

  • 2. Artificial neural networks for the diagnosis of atrial fibrillation.
    Yang TF, Devine B, Macfarlane PW.
    Med Biol Eng Comput; 1994 Nov; 32(6):615-9. PubMed ID: 7723418
    [Abstract] [Full Text] [Related]

  • 3. Using an artificial neural network to detect activations during ventricular fibrillation.
    Young MT, Blanchard SM, White MW, Johnson EE, Smith WM, Ideker RE.
    Comput Biomed Res; 2000 Feb; 33(1):43-58. PubMed ID: 10772783
    [Abstract] [Full Text] [Related]

  • 4. Use of artificial neural networks within deterministic logic for the computer ECG diagnosis of inferior myocardial infarction.
    Yang TF, Devine B, Macfarlane PW.
    J Electrocardiol; 1994 Feb; 27 Suppl():188-93. PubMed ID: 7884359
    [Abstract] [Full Text] [Related]

  • 5. Diagnostic ECG classification based on neural networks.
    Bortolan G, Willems JL.
    J Electrocardiol; 1993 Feb; 26 Suppl():75-9. PubMed ID: 8189152
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  • 7. Atrial activity enhancement by Wiener filtering using an artificial neural network.
    Vásquez C, Hernández A, Mora F, Carrault G, Passariello G.
    IEEE Trans Biomed Eng; 2001 Aug; 48(8):940-4. PubMed ID: 11499532
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  • 11. Accuracy of diagnosing atrial fibrillation on electrocardiogram by primary care practitioners and interpretative diagnostic software: analysis of data from screening for atrial fibrillation in the elderly (SAFE) trial.
    Mant J, Fitzmaurice DA, Hobbs FD, Jowett S, Murray ET, Holder R, Davies M, Lip GY.
    BMJ; 2007 Aug 25; 335(7616):380. PubMed ID: 17604299
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  • 12. Automatic classifiers for the interpretation of electrocardiograms.
    Abreu-Lima C, de Sá JP.
    Rev Port Cardiol; 1998 May 25; 17(5):415-28. PubMed ID: 9656764
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  • 13. Artificial neural networks and ECG interpretation. Use and abuse.
    Dassen WR, Mulleneers RG, den Dulk K, Talmon JL.
    J Electrocardiol; 1993 May 25; 26 Suppl():61-5. PubMed ID: 8189149
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  • 15. Effects of input data on the performance of a neural network in distinguishing normal and glaucomatous visual fields.
    Bengtsson B, Bizios D, Heijl A.
    Invest Ophthalmol Vis Sci; 2005 Oct 25; 46(10):3730-6. PubMed ID: 16186356
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  • 16. Misdiagnosis of atrial fibrillation and its clinical consequences.
    Bogun F, Anh D, Kalahasty G, Wissner E, Bou Serhal C, Bazzi R, Weaver WD, Schuger C.
    Am J Med; 2004 Nov 01; 117(9):636-42. PubMed ID: 15501200
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  • 17. Neural network and wavelet average framing percentage energy for atrial fibrillation classification.
    Daqrouq K, Alkhateeb A, Ajour MN, Morfeq A.
    Comput Methods Programs Biomed; 2014 Mar 01; 113(3):919-26. PubMed ID: 24503178
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  • 19. An artificial neural network for prostate cancer staging when serum prostate specific antigen is 10 ng./ml. or less.
    Zlotta AR, Remzi M, Snow PB, Schulman CC, Marberger M, Djavan B.
    J Urol; 2003 May 01; 169(5):1724-8. PubMed ID: 12686818
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