4.3 Article

Nonlinear Dynamic-Based Analysis of Severe Dysphonia in Patients With Vocal Fold Scar and Sulcus Vocalis

Journal

JOURNAL OF VOICE
Volume 26, Issue 5, Pages 566-576

Publisher

MOSBY-ELSEVIER
DOI: 10.1016/j.jvoice.2011.09.006

Keywords

Auditory-perceptual analysis; Chaos; Correlation dimension; Jitter; Perturbation analysis; Phase plot; Signal-to-noise ratio; Signal typing; Shimmer; Voice disorder

Funding

  1. National Institute on Deafness and Other Communication Disorders [R01 DC004428, R01 DC006019]

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Objective. The primary goal of this study was to evaluate a nonlinear dynamic approach to the acoustic analysis of dysphonia associated with vocal fold scar and sulcus vocalis. Study Design. Case-control study. Methods. Acoustic voice samples from scar/sulcus patients and age-/sex-matched controls were analyzed using correlation dimension (D-2) and phase plots, time-domain based perturbation indices (jitter, shimmer, signal-to-noise ratio [SNR]), and an auditory-perceptual rating scheme. Signal typing was performed to identify samples with bifurcations and aperiodicity. Results. Type 2 and 3 acoustic signals were highly represented in the scar/sulcus patient group. When data were analyzed irrespective of signal type, all perceptual and acoustic indices successfully distinguished scar/sulcus patients from controls. Removal of type 2 and 3 signals eliminated the previously identified differences between experimental groups for all acoustic indices except D2. The strongest perceptual-acoustic correlation in our data set was observed for SNR and the weakest correlation was observed for D2. Conclusions. These findings suggest that D2 is inferior to time-domain based perturbation measures for the analysis of dysphonia associated with scar/sulcus; however, time-domain based algorithms are inherently susceptible to inflation under highly aperiodic (ie, type 2 and 3) signal conditions. Auditory-perceptual analysis, unhindered by signal aperiodicity, is therefore a robust strategy for distinguishing scar/sulcus patient voices from normal voices. Future acoustic analysis research in this area should consider alternative (e. g., frequency-and quefrency-domain based) measures alongside additional nonlinear approaches.

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