These tools will no longer be maintained as of December 31, 2024. Archived website can be found here. PubMed4Hh GitHub repository can be found here. Contact NLM Customer Service if you have questions.


Pubmed for Handhelds

PUBMED FOR HANDHELDS

Journal Abstract Search

133 related items for PubMed ID: 9656764

  • 1. Automatic classifiers for the interpretation of electrocardiograms.
    Abreu-Lima C, de Sá JP.
    Rev Port Cardiol; 1998 May; 17(5):415-28. PubMed ID: 9656764
    [Abstract] [Full Text] [Related]

  • 2. GFAM: evolving Fuzzy ARTMAP neural networks.
    Al-Daraiseh A, Kaylani A, Georgiopoulos M, Mollaghasemi M, Wu AS, Anagnostopoulos G.
    Neural Netw; 2007 Oct; 20(8):874-92. PubMed ID: 17851035
    [Abstract] [Full Text] [Related]

  • 3. The comparison of different feed forward neural network architectures for ECG signal diagnosis.
    Hosseini HG, Luo D, Reynolds KJ.
    Med Eng Phys; 2006 May; 28(4):372-8. PubMed ID: 16118058
    [Abstract] [Full Text] [Related]

  • 4. ECG beat recognition using fuzzy hybrid neural network.
    Osowski S, Linh TH.
    IEEE Trans Biomed Eng; 2001 Nov; 48(11):1265-71. PubMed ID: 11686625
    [Abstract] [Full Text] [Related]

  • 5. Comparative study of morphological and time-frequency ECG descriptors for heartbeat classification.
    Christov I, Gómez-Herrero G, Krasteva V, Jekova I, Gotchev A, Egiazarian K.
    Med Eng Phys; 2006 Nov; 28(9):876-87. PubMed ID: 16476566
    [Abstract] [Full Text] [Related]

  • 6. Adaptive neuro-fuzzy inference system for classification of ECG signals using Lyapunov exponents.
    Ubeyli ED.
    Comput Methods Programs Biomed; 2009 Mar; 93(3):313-21. PubMed ID: 19084286
    [Abstract] [Full Text] [Related]

  • 7. Applications of artificial neural networks for ECG signal detection and classification.
    Hu YH, Tompkins WJ, Urrusti JL, Afonso VX.
    J Electrocardiol; 1993 Mar; 26 Suppl():66-73. PubMed ID: 8189150
    [Abstract] [Full Text] [Related]

  • 8. The application of mutual information-based feature selection and fuzzy LS-SVM-based classifier in motion classification.
    Yan Z, Wang Z, Xie H.
    Comput Methods Programs Biomed; 2008 Jun; 90(3):275-84. PubMed ID: 18295367
    [Abstract] [Full Text] [Related]

  • 9. Classification of EEG signals using neural network and logistic regression.
    Subasi A, Erçelebi E.
    Comput Methods Programs Biomed; 2005 May; 78(2):87-99. PubMed ID: 15848265
    [Abstract] [Full Text] [Related]

  • 10. Wavelet neural network classification of EEG signals by using AR model with MLE preprocessing.
    Subasi A, Alkan A, Koklukaya E, Kiymik MK.
    Neural Netw; 2005 Sep; 18(7):985-97. PubMed ID: 15921885
    [Abstract] [Full Text] [Related]

  • 11. Diagnostic ECG classification based on neural networks.
    Bortolan G, Willems JL.
    J Electrocardiol; 1993 Sep; 26 Suppl():75-9. PubMed ID: 8189152
    [Abstract] [Full Text] [Related]

  • 12. Application of irregular and unbalanced data to predict diabetic nephropathy using visualization and feature selection methods.
    Cho BH, Yu H, Kim KW, Kim TH, Kim IY, Kim SI.
    Artif Intell Med; 2008 Jan; 42(1):37-53. PubMed ID: 17997291
    [Abstract] [Full Text] [Related]

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

  • 14. Model comparison for automatic characterization and classification of average ERPs using visual oddball paradigm.
    Merzagora AC, Butti M, Polikar R, Izzetoglu M, Bunce S, Cerutti S, Bianchi AM, Onaral B.
    Clin Neurophysiol; 2009 Feb; 120(2):264-74. PubMed ID: 19062338
    [Abstract] [Full Text] [Related]

  • 15. Plausibility assessment of a 2-state self-paced mental task-based BCI using the no-control performance analysis.
    Faradji F, Ward RK, Birch GE.
    J Neurosci Methods; 2009 Jun 15; 180(2):330-9. PubMed ID: 19439361
    [Abstract] [Full Text] [Related]

  • 16.
    ; . PubMed ID:
    [No Abstract] [Full Text] [Related]

  • 17. Trainable fusion rules. I. Large sample size case.
    Raudys S.
    Neural Netw; 2006 Dec 15; 19(10):1506-16. PubMed ID: 16580815
    [Abstract] [Full Text] [Related]

  • 18. Adaptive neuro-fuzzy inference system for classification of EEG signals using wavelet coefficients.
    Güler I, Ubeyli ED.
    J Neurosci Methods; 2005 Oct 30; 148(2):113-21. PubMed ID: 16054702
    [Abstract] [Full Text] [Related]

  • 19. Assessment and comparison of different methods for heartbeat classification.
    Jekova I, Bortolan G, Christov I.
    Med Eng Phys; 2008 Mar 30; 30(2):248-57. PubMed ID: 17382573
    [Abstract] [Full Text] [Related]

  • 20.
    ; . PubMed ID:
    [No Abstract] [Full Text] [Related]

    Page: [Next] [New Search]
    of 7.