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.


BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

183 related articles for article (PubMed ID: 17078942)

  • 1. Wavelet time-frequency analysis and least squares support vector machines for the identification of voice disorders.
    Fonseca ES; Guido RC; Scalassara PR; Maciel CD; Pereira JC
    Comput Biol Med; 2007 Apr; 37(4):571-8. PubMed ID: 17078942
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Optimal selection of wavelet-packet-based features using genetic algorithm in pathological assessment of patients' speech signal with unilateral vocal fold paralysis.
    Behroozmand R; Almasganj F
    Comput Biol Med; 2007 Apr; 37(4):474-85. PubMed ID: 17034780
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Detection of laryngeal function using speech and electroglottographic data.
    Childers DG; Bae KS
    IEEE Trans Biomed Eng; 1992 Jan; 39(1):19-25. PubMed ID: 1572677
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Automated speech analysis applied to laryngeal disease categorization.
    Gelzinis A; Verikas A; Bacauskiene M
    Comput Methods Programs Biomed; 2008 Jul; 91(1):36-47. PubMed ID: 18346812
    [TBL] [Abstract][Full Text] [Related]  

  • 5. 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
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Adaptive estimation of residue signal for voice pathology diagnosis.
    Rosa Mde O; Pereira JC; Grellet M
    IEEE Trans Biomed Eng; 2000 Jan; 47(1):96-104. PubMed ID: 10646284
    [TBL] [Abstract][Full Text] [Related]  

  • 7. On combining information from modulation spectra and mel-frequency cepstral coefficients for automatic detection of pathological voices.
    Arias-Londoño JD; Godino-Llorente JI; Markaki M; Stylianou Y
    Logoped Phoniatr Vocol; 2011 Jul; 36(2):60-9. PubMed ID: 21073260
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Ceptral voice analysis: link with perception and stroboscopy.
    Dejonckere PH
    Rev Laryngol Otol Rhinol (Bord); 1998; 119(4):245-6. PubMed ID: 9865099
    [TBL] [Abstract][Full Text] [Related]  

  • 9. A nonlinear operator-based speech feature analysis method with application to vocal fold pathology assessment.
    Hansen JH; Gavidia-Ceballos L; Kaiser JF
    IEEE Trans Biomed Eng; 1998 Mar; 45(3):300-13. PubMed ID: 9509746
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Multidirectional regression (MDR)-based features for automatic voice disorder detection.
    Muhammad G; Mesallam TA; Malki KH; Farahat M; Mahmood A; Alsulaiman M
    J Voice; 2012 Nov; 26(6):817.e19-27. PubMed ID: 23177748
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Discrimination of pathological voices using a time-frequency approach.
    Umapathy K; Krishnan S; Parsa V; Jamieson DG
    IEEE Trans Biomed Eng; 2005 Mar; 52(3):421-30. PubMed ID: 15759572
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Support vector wavelet adaptation for pathological voice assessment.
    Saeedi NE; Almasganj F; Torabinejad F
    Comput Biol Med; 2011 Sep; 41(9):822-8. PubMed ID: 21777911
    [TBL] [Abstract][Full Text] [Related]  

  • 13. The use of wavelet packet transform and artificial neural networks in analysis and classification of dysphonic voices.
    Crovato CD; Schuck A
    IEEE Trans Biomed Eng; 2007 Oct; 54(10):1898-900. PubMed ID: 17926690
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Tackling EEG signal classification with least squares support vector machines: a sensitivity analysis study.
    Lima CA; Coelho AL; Eisencraft M
    Comput Biol Med; 2010 Aug; 40(8):705-14. PubMed ID: 20621291
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Reliability of speaking and maximum voice range measures in screening for dysphonia.
    Ma E; Robertson J; Radford C; Vagne S; El-Halabi R; Yiu E
    J Voice; 2007 Jul; 21(4):397-406. PubMed ID: 16678387
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Vibrato and tremor extent spectrum: algorithm and applications.
    Vieira MN; Silva JE; Yehia HC
    J Acoust Soc Am; 2011 Jul; 130(1):EL1-7. PubMed ID: 21786861
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Static features in real-time recognition of isolated vowels at high pitch.
    Ferreira AJ
    J Acoust Soc Am; 2007 Oct; 122(4):2389-404. PubMed ID: 17902873
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Discrimination between pathological and normal voices using GMM-SVM approach.
    Wang X; Zhang J; Yan Y
    J Voice; 2011 Jan; 25(1):38-43. PubMed ID: 20137892
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Automatic detection of laryngeal pathologies in records of sustained vowels by means of mel-frequency cepstral coefficient parameters and differentiation of patients by sex.
    Fraile R; Sáenz-Lechón N; Godino-Llorente JI; Osma-Ruiz V; Fredouille C
    Folia Phoniatr Logop; 2009; 61(3):146-52. PubMed ID: 19571549
    [TBL] [Abstract][Full Text] [Related]  

  • 20. [Phonetograms in laryngeal lesions due to vocal abuse].
    Gamboa FJ; del Palacio A; Mico A; Nieto A; Cobeta I
    Acta Otorrinolaringol Esp; 1994; 45(1):31-6. PubMed ID: 8204291
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 10.