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 *

101 related articles for article (PubMed ID: 23016429)

  • 1. [Recognition and study of pathological voice based on nonlinear dynamics using gaussian mixture model/support vector machine].
    Gao J; Hu W
    Sheng Wu Yi Xue Gong Cheng Xue Za Zhi; 2012 Aug; 29(4):750-3, 759. PubMed ID: 23016429
    [TBL] [Abstract][Full Text] [Related]  

  • 2. 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]  

  • 3. Visual attention recognition based on nonlinear dynamical parameters of EEG.
    Ke Y; Chen L; Fu L; Jia Y; Li P; Zhao X; Qi H; Zhou P; Zhang L; Wan B; Ming D
    Biomed Mater Eng; 2014; 24(1):349-55. PubMed ID: 24211916
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Identification of voice disorders using long-time features and support vector machine with different feature reduction methods.
    Arjmandi MK; Pooyan M; Mikaili M; Vali M; Moqarehzadeh A
    J Voice; 2011 Nov; 25(6):e275-89. PubMed ID: 21186096
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Pathological assessment of patients' speech signals using nonlinear dynamical analysis.
    Vaziri G; Almasganj F; Behroozmand R
    Comput Biol Med; 2010 Jan; 40(1):54-63. PubMed ID: 19962694
    [TBL] [Abstract][Full Text] [Related]  

  • 6. [A comparative study of pathological voice based on traditional acoustic characteristics and nonlinear features].
    Gan D; Hu W; Zhao B
    Sheng Wu Yi Xue Gong Cheng Xue Za Zhi; 2014 Oct; 31(5):1149-54. PubMed ID: 25764740
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Automatic detection of pathological voices using complexity measures, noise parameters, and mel-cepstral coefficients.
    Arias-Londoño JD; Godino-Llorente JI; Sáenz-Lechón N; Osma-Ruiz V; Castellanos-Domínguez G
    IEEE Trans Biomed Eng; 2011 Feb; 58(2):370-9. PubMed ID: 21257362
    [TBL] [Abstract][Full Text] [Related]  

  • 8. 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]  

  • 9. 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]  

  • 10. Wavelet adaptation for automatic voice disorders sorting.
    Erfanian Saeedi N; Almasganj F
    Comput Biol Med; 2013 Jul; 43(6):699-704. PubMed ID: 23668345
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Acoustic analyses of sustained and running voices from patients with laryngeal pathologies.
    Zhang Y; Jiang JJ
    J Voice; 2008 Jan; 22(1):1-9. PubMed ID: 16978835
    [TBL] [Abstract][Full Text] [Related]  

  • 12. 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]  

  • 13. [Speaker gender identification based on audio fractal dimension and pitch feature].
    Wang Z; Yang C; Wu W; Fan Y
    Sheng Wu Yi Xue Gong Cheng Xue Za Zhi; 2008 Aug; 25(4):805-10. PubMed ID: 18788284
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Objective voice analysis in dysphonic patients: new data including nonlinear measurements.
    Yu P; Garrel R; Nicollas R; Ouaknine M; Giovanni A
    Folia Phoniatr Logop; 2007; 59(1):20-30. PubMed ID: 17172783
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Epileptic EEG classification based on extreme learning machine and nonlinear features.
    Yuan Q; Zhou W; Li S; Cai D
    Epilepsy Res; 2011 Sep; 96(1-2):29-38. PubMed ID: 21616643
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Perturbation and nonlinear dynamic analyses of voices from patients with unilateral laryngeal paralysis.
    Zhang Y; Jiang JJ; Biazzo L; Jorgensen M
    J Voice; 2005 Dec; 19(4):519-28. PubMed ID: 16301098
    [TBL] [Abstract][Full Text] [Related]  

  • 17. [Clinical significance of calculating the coefficients of Lyapunov in the objective assessment of dysphonia].
    Yu P; Ouaknine M; Giovanni A
    Rev Laryngol Otol Rhinol (Bord); 2000; 121(5):301-5. PubMed ID: 11387653
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Electroglottogram approximate entropy: a novel single parameter for objective voice assessment.
    Douglas CM; Moore C; Manickam K; Lee L; Sykes A; Carr A; Jones S; Jones J; Swindell R; Homer JJ; Slevin N
    J Laryngol Otol; 2010 May; 124(5):520-8. PubMed ID: 20128940
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Effects of audio compression in automatic detection of voice pathologies.
    Sáenz-Lechón N; Osma-Ruiz V; Godino-Llorente JI; Blanco-Velasco M; Cruz-Roldán F; Arias-Londoño JD
    IEEE Trans Biomed Eng; 2008 Dec; 55(12):2831-5. PubMed ID: 19126465
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Classification of functional voice disorders based on phonovibrograms.
    Voigt D; Döllinger M; Braunschweig T; Yang A; Eysholdt U; Lohscheller J
    Artif Intell Med; 2010 May; 49(1):51-9. PubMed ID: 20138486
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 6.