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 *

198 related articles for article (PubMed ID: 27553258)

  • 1. Optimized Nonlinear Dynamic Analysis of Pathologic Voices With Laryngeal Paralysis Based on the Minimum Embedding Dimension.
    Huang N; Zhang Y; Calawerts W; Jiang JJ
    J Voice; 2017 Mar; 31(2):249.e1-249.e7. PubMed ID: 27553258
    [TBL] [Abstract][Full Text] [Related]  

  • 2. 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]  

  • 3. Objective dysphonia quantification in vocal fold paralysis: comparing nonlinear with classical measures.
    Little MA; Costello DA; Harries ML
    J Voice; 2011 Jan; 25(1):21-31. PubMed ID: 19900790
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Acoustic analysis of four common voice diagnoses: moving toward disorder-specific assessment.
    Gillespie AI; Dastolfo C; Magid N; Gartner-Schmidt J
    J Voice; 2014 Sep; 28(5):582-8. PubMed ID: 24880672
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Phasegram Analysis of Vocal Fold Vibration Documented With Laryngeal High-speed Video Endoscopy.
    Herbst CT; Unger J; Herzel H; Švec JG; Lohscheller J
    J Voice; 2016 Nov; 30(6):771.e1-771.e15. PubMed ID: 26879075
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Longitudinal Voice Outcomes After Voice Therapy in Unilateral Vocal Fold Paralysis.
    Busto-Crespo O; Uzcanga-Lacabe M; Abad-Marco A; Berasategui I; García L; Maraví E; Aguilera-Albesa S; Fernández-Montero A; Fernández-González S
    J Voice; 2016 Nov; 30(6):767.e9-767.e15. PubMed ID: 26658167
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Predictive value and discriminant capacity of cepstral- and spectral-based measures during continuous speech.
    Lowell SY; Colton RH; Kelley RT; Mizia SA
    J Voice; 2013 Jul; 27(4):393-400. PubMed ID: 23684735
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Spectral moment analysis of unilateral vocal fold paralysis.
    Colton RH; Paseman A; Kelley RT; Stepp D; Casper JK
    J Voice; 2011 May; 25(3):330-6. PubMed ID: 20813498
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Hierarchical Classification and System Combination for Automatically Identifying Physiological and Neuromuscular Laryngeal Pathologies.
    Cordeiro H; Fonseca J; Guimarães I; Meneses C
    J Voice; 2017 May; 31(3):384.e9-384.e14. PubMed ID: 27743845
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Analysis and Classification of Voice Pathologies Using Glottal Signal Parameters.
    Forero M LA; Kohler M; Vellasco MM; Cataldo E
    J Voice; 2016 Sep; 30(5):549-56. PubMed ID: 26474715
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Using Rate of Divergence as an Objective Measure to Differentiate between Voice Signal Types Based on the Amount of Disorder in the Signal.
    Calawerts WM; Lin L; Sprott JC; Jiang JJ
    J Voice; 2017 Jan; 31(1):16-23. PubMed ID: 26920858
    [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. The Effect of Moving Window on Acoustic Analysis.
    Shu M; Jiang JJ; Willey M
    J Voice; 2016 Jan; 30(1):5-10. PubMed ID: 25998407
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Modeling of Breathy Voice Quality Using Pitch-strength Estimates.
    Eddins DA; Anand S; Camacho A; Shrivastav R
    J Voice; 2016 Nov; 30(6):774.e1-774.e7. PubMed ID: 26775221
    [TBL] [Abstract][Full Text] [Related]  

  • 15. 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]  

  • 16. Use of cepstral analyses for differentiating normal from dysphonic voices: a comparative study of connected speech versus sustained vowel in European Portuguese female speakers.
    Brinca LF; Batista AP; Tavares AI; Gonçalves IC; Moreno ML
    J Voice; 2014 May; 28(3):282-6. PubMed ID: 24491499
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Perturbation and nonlinear dynamic analysis of adult male smokers.
    Chai L; Sprecher AJ; Zhang Y; Liang Y; Chen H; Jiang JJ
    J Voice; 2011 May; 25(3):342-7. PubMed ID: 20472394
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Nonlinear dynamic analysis of disordered voice: the relationship between the correlation dimension (D2) and pre-/post-treatment change in perceived dysphonia severity.
    Awan SN; Roy N; Jiang JJ
    J Voice; 2010 May; 24(3):285-93. PubMed ID: 19502002
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Validation of the Cepstral Spectral Index of Dysphonia (CSID) as a Screening Tool for Voice Disorders: Development of Clinical Cutoff Scores.
    Awan SN; Roy N; Zhang D; Cohen SM
    J Voice; 2016 Mar; 30(2):130-44. PubMed ID: 26361215
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Nonlinear dynamic-based analysis of severe dysphonia in patients with vocal fold scar and sulcus vocalis.
    Choi SH; Zhang Y; Jiang JJ; Bless DM; Welham NV
    J Voice; 2012 Sep; 26(5):566-76. PubMed ID: 22516315
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 10.