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Describing pediatric dysphonia with nonlinear dynamic parameters.

Morgan L Meredith¹, Shannon M Theis, J Scott McMurray

¹Department of Surgery, Division of Otolaryngology - Head and Neck Surgery, University of Wisconsin School of Medicine and Public Health, Madison, WI 53706, United States. mmeredith@wisc.edu

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|October 25, 2008

Summary

Nonlinear dynamic analysis shows promise for detecting childhood dysphonia. This method, along with jitter analysis, identified differences between normal and dysphonic children, paving the way for clinical standards.

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Area of Science:

Speech-language pathology
Acoustic analysis
Pediatric voice disorders

Background:

Nonlinear dynamic analysis (NDA) is a reliable tool for voice disorder assessment in adults.
NDA has not been extensively studied in pediatric populations.
Establishing normative data for pediatric voice analysis is crucial.

Purpose of the Study:

To apply nonlinear dynamic analysis to pediatric populations (normal and dysphonic).
To collect normative data for nonlinear dynamic analysis in children.
To compare nonlinear dynamic measures with jitter analysis for pediatric dysphonia.

Main Methods:

38 pediatric subjects (23 dysphonic, 15 normal) participated.
Sustained vowel recordings underwent nonlinear dynamic analysis (correlation dimension, D2) and percent jitter analysis.
T-tests were used to compare D2 and jitter values between groups (p=0.05).

Main Results:

Correlation dimension (D2) values were significantly higher in dysphonic children (p=0.002).
Percent jitter was significantly higher in dysphonic children (p=0.025).
Higher variation in D2 values was observed in normal children compared to dysphonic children.

Conclusions:

Nonlinear dynamic analysis is a potential tool for detecting and assessing pediatric dysphonia.
Further research and normative data are required to establish clinical standards for NDA in children.
Findings support the use of NDA parameters in the clinical evaluation of childhood voice disorders.