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373 related items for PubMed ID: 18954609

  • 1. Automatic analysis of cardiac repolarization morphology using Gaussian mesa function modeling.
    Badilini F, Vaglio M, Dubois R, Roussel P, Sarapa N, Denjoy I, Extramiana F, Maison-Blanche P.
    J Electrocardiol; 2008; 41(6):588-94. PubMed ID: 18954609
    [Abstract] [Full Text] [Related]

  • 2. Investigating the effect of sotalol on the repolarization intervals in healthy young individuals.
    Couderc JP, Zhou M, Sarapa N, Zareba W.
    J Electrocardiol; 2008; 41(6):595-602. PubMed ID: 18801493
    [Abstract] [Full Text] [Related]

  • 3. Identify drug-induced T wave morphology changes by a cell-to-electrocardiogram model and validation with clinical trial data.
    Xue J, Gao W, Chen Y, Han X.
    J Electrocardiol; 2009; 42(6):534-42. PubMed ID: 19700171
    [Abstract] [Full Text] [Related]

  • 4. P-wave morphology assessment by a gaussian functions-based model in atrial fibrillation patients.
    Censi F, Calcagnini G, Ricci C, Ricci RP, Santini M, Grammatico A, Bartolini P.
    IEEE Trans Biomed Eng; 2007 Apr; 54(4):663-72. PubMed ID: 17405373
    [Abstract] [Full Text] [Related]

  • 5. Detection of QRS complexes in electrocardiogram using support vector machine.
    Mehta SS, Lingayat NS.
    J Med Eng Technol; 2008 Apr; 32(3):206-15. PubMed ID: 18432468
    [Abstract] [Full Text] [Related]

  • 6. Automatic ECG wave extraction in long-term recordings using Gaussian mesa function models and nonlinear probability estimators.
    Dubois R, Maison-Blanche P, Quenet B, Dreyfus G.
    Comput Methods Programs Biomed; 2007 Dec; 88(3):217-33. PubMed ID: 17997186
    [Abstract] [Full Text] [Related]

  • 7. Model-based fiducial points extraction for baseline wandered electrocardiograms.
    Sayadi O, Shamsollahi MB.
    IEEE Trans Biomed Eng; 2008 Jan; 55(1):347-51. PubMed ID: 18232380
    [Abstract] [Full Text] [Related]

  • 8. Implications of methodological differences in digital electrocardiogram interval measurement.
    Badilini F, Sarapa N.
    J Electrocardiol; 2006 Oct; 39(4 Suppl):S152-6. PubMed ID: 16920141
    [Abstract] [Full Text] [Related]

  • 9. Classification of electrocardiogram signals with support vector machines and particle swarm optimization.
    Melgani F, Bazi Y.
    IEEE Trans Inf Technol Biomed; 2008 Sep; 12(5):667-77. PubMed ID: 18779082
    [Abstract] [Full Text] [Related]

  • 10. A single-lead ECG enhancement algorithm using a regularized data-driven filter.
    Hu X, Nenov V.
    IEEE Trans Biomed Eng; 2006 Feb; 53(2):347-51. PubMed ID: 16485766
    [Abstract] [Full Text] [Related]

  • 11. An algorithm for robust and efficient location of T-wave ends in electrocardiograms.
    Zhang Q, Manriquez AI, Médigue C, Papelier Y, Sorine M.
    IEEE Trans Biomed Eng; 2006 Dec; 53(12 Pt 1):2544-52. PubMed ID: 17153212
    [Abstract] [Full Text] [Related]

  • 12. Feature extraction from a novel ECG model for arrhythmia diagnosis.
    Zhu J, He L, Gao Z.
    Biomed Mater Eng; 2014 Dec; 24(6):2883-91. PubMed ID: 25226994
    [Abstract] [Full Text] [Related]

  • 13. Two automatic QT algorithms compared with manual measurement in identification of long QT syndrome.
    Diamant UB, Winbo A, Stattin EL, Rydberg A, Kesek M, Jensen SM.
    J Electrocardiol; 2010 Dec; 43(1):25-30. PubMed ID: 20005993
    [Abstract] [Full Text] [Related]

  • 14. Automated serial ECG comparison improves computerized interpretation of 12-lead ECG.
    Gregg RE, Deluca DC, Chien CH, Helfenbein ED, Ariet M.
    J Electrocardiol; 2012 Dec; 45(6):561-5. PubMed ID: 22995382
    [Abstract] [Full Text] [Related]

  • 15. ECG signal analysis through hidden Markov models.
    Andreão RV, Dorizzi B, Boudy J.
    IEEE Trans Biomed Eng; 2006 Aug; 53(8):1541-9. PubMed ID: 16916088
    [Abstract] [Full Text] [Related]

  • 16. Study of repolarization heterogeneity and electrocardiographic morphology with a modeling approach.
    Xue J, Gao W, Chen Y, Han X.
    J Electrocardiol; 2008 Aug; 41(6):581-7. PubMed ID: 18804785
    [Abstract] [Full Text] [Related]

  • 17. Automatic classification of heartbeats using ECG morphology and heartbeat interval features.
    de Chazal P, O'Dwyer M, Reilly RB.
    IEEE Trans Biomed Eng; 2004 Jul; 51(7):1196-206. PubMed ID: 15248536
    [Abstract] [Full Text] [Related]

  • 18. A patient-adapting heartbeat classifier using ECG morphology and heartbeat interval features.
    de Chazal P, Reilly RB.
    IEEE Trans Biomed Eng; 2006 Dec; 53(12 Pt 1):2535-43. PubMed ID: 17153211
    [Abstract] [Full Text] [Related]

  • 19. New descriptors of T-wave morphology are independent of heart rate.
    Andersen MP, Xue JQ, Graff C, Kanters JK, Toft E, Struijk JJ.
    J Electrocardiol; 2008 Dec; 41(6):557-61. PubMed ID: 18804787
    [Abstract] [Full Text] [Related]

  • 20. An algorithm for continuous real-time QT interval monitoring.
    Helfenbein ED, Zhou SH, Lindauer JM, Field DQ, Gregg RE, Wang JJ, Kresge SS, Michaud FP.
    J Electrocardiol; 2006 Oct; 39(4 Suppl):S123-7. PubMed ID: 16920145
    [Abstract] [Full Text] [Related]

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