Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
10448488 | Journal of Communication Disorders | 2008 | 16 Pages |
Abstract
Learning outcomes: Readers will be able to: (1) identify the advantages of nonlinear dynamic analysis as a clinical tool to evaluate the aperiodic voice commonly found in patients with Parkinson's disease, (2) describe in general the method of obtaining a correlation dimension measure from a voice sample and the significance of this measure in terms of specific voice signal properties, (3) consider the preliminary implications from nonlinear dynamic analysis of a positive DBS effect on Parkinsonian voice and the potential for further investigations using nonlinear dynamic analysis on the influence of gender, severity of disease, and combined treatments on Parkinsonian voice improvement.
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Authors
Victoria S. Lee, Xiao Ping Zhou, Douglas A. III, Emily Q. Wang, Jack J. Jiang,