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Journal Abstract Search

172 related items for PubMed ID: 17947091

  • 1. Nonlinear analysis of heart murmurs using wavelet-based higher-order spectral parameters.
    Taplidou SA, Hadjileontiadis LJ.
    Conf Proc IEEE Eng Med Biol Soc; 2006; 2006():4502-5. PubMed ID: 17947091
    [Abstract] [Full Text] [Related]

  • 2. Nonlinear characteristics of wheezes as seen in the wavelet higher-order spectra domain.
    Taplidou SA, Hadjileontiadis LJ.
    Conf Proc IEEE Eng Med Biol Soc; 2006; 2006():4506-9. PubMed ID: 17947092
    [Abstract] [Full Text] [Related]

  • 3. Nonlinear analysis of wheezes using wavelet bicoherence.
    Taplidou SA, Hadjileontiadis LJ.
    Comput Biol Med; 2007 Apr; 37(4):563-70. PubMed ID: 17010961
    [Abstract] [Full Text] [Related]

  • 4. Heart murmur recognition and segmentation by complexity signatures.
    Kumar D, Carvalho P, Antunes M, Henriques J, Sá e Melo A, Habetha J.
    Annu Int Conf IEEE Eng Med Biol Soc; 2008 Apr; 2008():2128-32. PubMed ID: 19163117
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  • 7. Computerized heart sounds analysis.
    Debbal SM, Bereksi-Reguig F.
    Comput Biol Med; 2008 Feb; 38(2):263-80. PubMed ID: 18037395
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  • 8. Analysis of phonocardiogram signals using wavelet transform.
    Meziani F, Debbal SM, Atbi A.
    J Med Eng Technol; 2012 Aug; 36(6):283-302. PubMed ID: 22738192
    [Abstract] [Full Text] [Related]

  • 9. Application of the matching pursuit method in a fetal phonocardiographic telemedicine system.
    Horváth C, Uveges B, Kovács F, Hosszú G.
    Annu Int Conf IEEE Eng Med Biol Soc; 2007 Aug; 2007():1892-5. PubMed ID: 18002351
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  • 10. Cumulant-based trapezoidal basis selection for heart sound classification.
    Safara F.
    Med Biol Eng Comput; 2015 Nov; 53(11):1153-64. PubMed ID: 26403300
    [Abstract] [Full Text] [Related]

  • 11. Filtering and classification of phonocardiogram signals using wavelet transform.
    Debbal SM, Bereksi-Reguig F.
    J Med Eng Technol; 2008 Nov; 32(1):53-65. PubMed ID: 18183520
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  • 12. Wavelet processing of systolic murmurs to assist with clinical diagnosis of heart disease.
    Hayek CS, Thompson WR, Tuchinda C, Wojcik RA, Lombardo JS.
    Biomed Instrum Technol; 2003 Nov; 37(4):263-70. PubMed ID: 12923978
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  • 13. Assessment of suspected aortic stenosis by auto mutual information analysis of murmurs.
    Ahlstrom C, Ask P, Rask P, Karlsson JE, Nylander E, Dahlström U, Hult P.
    Annu Int Conf IEEE Eng Med Biol Soc; 2007 Nov; 2007():1945-8. PubMed ID: 18002364
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  • 14. In response to: Nygaard H, Thuesen L, Hasenkam JM, Pedersen EM. Assessing the severity of aortic valve stenosis by spectral analysis of cardiac murmurs (spectral vibrocardiography) Part I and Part II.
    Carroll JD, Hellman KE.
    J Heart Valve Dis; 1993 Sep; 2(5):612-5. PubMed ID: 8269175
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  • 17. [Sound spectrographic investigations of heart sounds and murmurs and of the sounds produced by artificial valves (author's transl)].
    Aigner A.
    Wien Klin Wochenschr Suppl; 1976 Sep; 51():1-19. PubMed ID: 1068598
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  • 18. A computer-aided MFCC-based HMM system for automatic auscultation.
    Chauhan S, Wang P, Sing Lim C, Anantharaman V.
    Comput Biol Med; 2008 Feb; 38(2):221-33. PubMed ID: 18045582
    [Abstract] [Full Text] [Related]

  • 19. HEART SOUNDS AND MURMURS.
    HARVEY WP.
    Circulation; 1964 Aug; 30():262-71. PubMed ID: 14205555
    [No Abstract] [Full Text] [Related]

  • 20. Automatic detection of sounds and murmurs in patients with Ionescu-Shiley aortic bioprostheses.
    Baranek HL, Lee HC, Cloutier G, Durand LG.
    Med Biol Eng Comput; 1989 Sep; 27(5):449-55. PubMed ID: 2622226
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