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Pubmed for Handhelds

PUBMED FOR HANDHELDS

Journal Abstract Search

158 related items for PubMed ID: 32174311

  • 21. Multi-level basis selection of wavelet packet decomposition tree for heart sound classification.
    Safara F, Doraisamy S, Azman A, Jantan A, Abdullah Ramaiah AR.
    Comput Biol Med; 2013 Oct; 43(10):1407-14. PubMed ID: 24034732
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  • 22. Detection and boundary identification of phonocardiogram sounds using an expert frequency-energy based metric.
    Naseri H, Homaeinezhad MR.
    Ann Biomed Eng; 2013 Feb; 41(2):279-92. PubMed ID: 22956159
    [Abstract] [Full Text] [Related]

  • 23. Machine Learning Algorithms for Processing and Classifying Unsegmented Phonocardiographic Signals: An Efficient Edge Computing Solution Suitable for Wearable Devices.
    De Fazio R, Spongano L, De Vittorio M, Patrono L, Visconti P.
    Sensors (Basel); 2024 Jun 14; 24(12):. PubMed ID: 38931636
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  • 24. Cumulant-based trapezoidal basis selection for heart sound classification.
    Safara F.
    Med Biol Eng Comput; 2015 Nov 14; 53(11):1153-64. PubMed ID: 26403300
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  • 25. Discrete wavelet-aided delineation of PCG signal events via analysis of an area curve length-based decision statistic.
    Homaeinezhad MR, Atyabi SA, Daneshvar E, Ghaffari A, Tahmasebi M.
    Cardiovasc Eng; 2010 Dec 14; 10(4):218-34. PubMed ID: 21181267
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  • 26. Automated signal quality assessment of mobile phone-recorded heart sound signals.
    Springer DB, Brennan T, Ntusi N, Abdelrahman HY, Zühlke LJ, Mayosi BM, Tarassenko L, Clifford GD.
    J Med Eng Technol; 2016 Dec 14; 40(7-8):342-355. PubMed ID: 27659352
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  • 27. Heart sound classification from unsegmented phonocardiograms.
    Langley P, Murray A.
    Physiol Meas; 2017 Jul 31; 38(8):1658-1670. PubMed ID: 28489019
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  • 30. Phonocardiogram signal analysis: techniques and performance comparison.
    Obaidat MS.
    J Med Eng Technol; 1993 Jul 31; 17(6):221-7. PubMed ID: 8169938
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  • 31. Automated heart sound classification system from unsegmented phonocardiogram (PCG) using deep neural network.
    Krishnan PT, Balasubramanian P, Umapathy S.
    Phys Eng Sci Med; 2020 Jun 31; 43(2):505-515. PubMed ID: 32524434
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  • 32. A low-complex multi-channel methodology for noise detection in phonocardiogram signals.
    Nunes D, Leal A, Couceiro R, Henriques J, Mendes L, Carvalho P, Teixeira C.
    Annu Int Conf IEEE Eng Med Biol Soc; 2015 Jun 31; 2015():5936-9. PubMed ID: 26737643
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  • 34. Analysis of phonocardiogram signals through proactive denoising using novel self-discriminant learner.
    Puri C, Singh R, Bandyopadhyay S, Ukil A, Mukherjee A.
    Annu Int Conf IEEE Eng Med Biol Soc; 2017 Jul 31; 2017():2753-2756. PubMed ID: 29060468
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  • 35. Automated detection of congestive heart failure from electrocardiogram signal using Stockwell transform and hybrid classification scheme.
    Tripathy RK, Paternina MRA, Arrieta JG, Zamora-Méndez A, Naik GR.
    Comput Methods Programs Biomed; 2019 May 31; 173():53-65. PubMed ID: 31046996
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  • 40. Is there an Optimal Localization of Cardio-microphone Sensors for Phonocardiogram Analysis?
    Fontecave-Jallon J, Fojtik K, Rivet B.
    Annu Int Conf IEEE Eng Med Biol Soc; 2019 Jul 31; 2019():3249-3252. PubMed ID: 31946578
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