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Journal Abstract Search


104 related items for PubMed ID: 19525571

  • 1. Examining cross-database global training to evaluate five different methods for ventricular beat classification.
    Chudácek V, Georgoulas G, Lhotská L, Stylios C, Petrík M, Cepek M.
    Physiol Meas; 2009 Jul; 30(7):661-77. PubMed ID: 19525571
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  • 2. A methodology for the automated creation of fuzzy expert systems for ischaemic and arrhythmic beat classification based on a set of rules obtained by a decision tree.
    Exarchos TP, Tsipouras MG, Exarchos CP, Papaloukas C, Fotiadis DI, Michalis LK.
    Artif Intell Med; 2007 Jul; 40(3):187-200. PubMed ID: 17543512
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  • 3. 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
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  • 6. Robust neural-network-based classification of premature ventricular contractions using wavelet transform and timing interval features.
    Inan OT, Giovangrandi L, Kovacs GT.
    IEEE Trans Biomed Eng; 2006 Dec; 53(12 Pt 1):2507-15. PubMed ID: 17153208
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  • 9. 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
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  • 12. Support vector machine-based arrhythmia classification using reduced features of heart rate variability signal.
    Asl BM, Setarehdan SK, Mohebbi M.
    Artif Intell Med; 2008 Sep; 44(1):51-64. PubMed ID: 18585905
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  • 13. Assessment and comparison of different methods for heartbeat classification.
    Jekova I, Bortolan G, Christov I.
    Med Eng Phys; 2008 Mar; 30(2):248-57. PubMed ID: 17382573
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  • 14. Classification of cardiac arrhythmias using fuzzy ARTMAP.
    Ham FM, Han S.
    IEEE Trans Biomed Eng; 1996 Apr; 43(4):425-30. PubMed ID: 8626192
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  • 15. A patient-adaptive profiling scheme for ECG beat classification.
    Faezipour M, Saeed A, Bulusu SC, Nourani M, Minn H, Tamil L.
    IEEE Trans Inf Technol Biomed; 2010 Sep; 14(5):1153-65. PubMed ID: 20813624
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  • 17. Combining neural networks and ANFIS classifiers for supervised examining of electrocardiogram beats.
    Javadi M.
    J Med Eng Technol; 2013 Nov; 37(8):484-97. PubMed ID: 24044548
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  • 18. [Beat-by-beat validation of the Oxford Medilog 4500, a 24-hour long-term ECG system with real-time analysis].
    Elfner R, Buss J, Kraatz J, Heene DL.
    Z Kardiol; 1987 Aug; 76(8):492-500. PubMed ID: 2445117
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  • 19. Heartbeat classification using morphological and dynamic features of ECG signals.
    Ye C, Kumar BV, Coimbra MT.
    IEEE Trans Biomed Eng; 2012 Oct; 59(10):2930-41. PubMed ID: 22907960
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