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PUBMED FOR HANDHELDS

Journal Abstract Search


174 related items for PubMed ID: 21097045

  • 1. Acoustic mapping of the lung based on source localization of adventitious respiratory sound components.
    Sen I, Saraclar M, Kahya YP.
    Annu Int Conf IEEE Eng Med Biol Soc; 2010; 2010():3670-3. PubMed ID: 21097045
    [Abstract] [Full Text] [Related]

  • 2. Unsupervised classification of respiratory sound signal into snore/no-snore classes.
    Azarbarzin A, Moussavi Z.
    Annu Int Conf IEEE Eng Med Biol Soc; 2010; 2010():3666-9. PubMed ID: 21097044
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  • 3. Performance evaluation and enhancement of lung sound recognition system in two real noisy environments.
    Chang GC, Lai YF.
    Comput Methods Programs Biomed; 2010 Feb; 97(2):141-50. PubMed ID: 19615782
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  • 4. Acoustical signal properties for cardiac/respiratory activity and apneas.
    Kaniusas E, Pfützner H, Saletu B.
    IEEE Trans Biomed Eng; 2005 Nov; 52(11):1812-22. PubMed ID: 16285384
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  • 5. Classifying respiratory sounds with different feature sets.
    Kahya YP, Yeginer M, Bilgic B.
    Conf Proc IEEE Eng Med Biol Soc; 2006 Nov; 2006():2856-9. PubMed ID: 17946144
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  • 6. Detection of lungs status using morphological complexities of respiratory sounds.
    Mondal A, Bhattacharya P, Saha G.
    ScientificWorldJournal; 2014 Nov; 2014():182938. PubMed ID: 24688364
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  • 9. Multi-channel classification of respiratory sounds.
    Yilmaz CA, Kahya YP.
    Conf Proc IEEE Eng Med Biol Soc; 2006 Nov; 2006():2864-7. PubMed ID: 17946985
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  • 11. Computerised respiratory sounds can differentiate smokers and non-smokers.
    Oliveira A, Sen I, Kahya YP, Afreixo V, Marques A.
    J Clin Monit Comput; 2017 Jun; 31(3):571-580. PubMed ID: 27164980
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  • 12. On the blind recovery of cardiac and respiratory sounds.
    Shah G, Koch P, Papadias CB.
    IEEE J Biomed Health Inform; 2015 Jan; 19(1):151-7. PubMed ID: 25148674
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  • 13. Automatic wheeze detection based on auditory modelling.
    Qiu Y, Whittaker AR, Lucas M, Anderson K.
    Proc Inst Mech Eng H; 2005 May; 219(3):219-27. PubMed ID: 15934398
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  • 15. Crackle sounds analysis by empirical mode decomposition. Nonlinear and nonstationary signal analysis for distinction of crackles in lung sounds.
    Charleston-Villalobos S, González-Camarena R, Chi-Lem G, Aljama-Corrales T.
    IEEE Eng Med Biol Mag; 2007 May; 26(1):40-7. PubMed ID: 17278771
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  • 16. [Normal and Adventitious Breath Sounds].
    Koehler U, Hildebrandt O, Kerzel S, Urban C, Hoehle L, Weissflog A, Nikolaizik W, Koehler J, Sohrabi K, Gross V.
    Pneumologie; 2016 Jun; 70(6):397-404. PubMed ID: 27177168
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  • 20. Efficient snoring and breathing detection based on sub-band spectral statistics.
    Sun X, Kim JY, Won Y, Kim JJ, Kim KA.
    Biomed Mater Eng; 2015 Jun; 26 Suppl 1():S787-93. PubMed ID: 26406075
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