Journal article
Classification of glottic insufficiency and tension asymmetry using a multilayer perceptron
The Laryngoscope, Vol.122(12), pp.2773-2780
12/01/2012
DOI: 10.1002/lary.23549
PMCID: PMC3522789
PMID: 23070824
Abstract
Objective: Laryngeal function can be evaluated from multiple perspectives, including aerodynamic input, acoustic output, and mucosal wave vibratory characteristics. To determine the classifying power of each of these, we used a multilayer perceptron artificial neural network (ANN) to classify data as normal, glottic insufficiency, or tension asymmetry. Study design: Case series analyzing data obtained from excised larynges simulating different conditions. Methods: Aerodynamic, acoustic, and videokymographic data were collected from excised canine larynges simulating normal, glottic insufficiency, and tension asymmetry. Classification of samples was performed using a multilayer perceptron ANN. Results: A classification accuracy of 84% was achieved when including all parameters. Classification accuracy dropped below 75% when using only aerodynamic or acoustic parameters and below 65% when using only videokymographic parameters. Conclusions: Samples were classified with the greatest accuracy when using a wide range of parameters. Decreased classification accuracies for individual groups of parameters demonstrate the importance of a comprehensive voice assessment when evaluating dysphonia. Laryngoscope, 2012
Details
- Title: Subtitle
- Classification of glottic insufficiency and tension asymmetry using a multilayer perceptron
- Creators
- Matthew R. Hoffman - University of Wisconsin School of Medicine and Public HealthKetan Surender - University of Wisconsin–MadisonErin E. Devine - University of Wisconsin–MadisonJack J. Jiang - University of Wisconsin–Madison
- Resource Type
- Journal article
- Publication Details
- The Laryngoscope, Vol.122(12), pp.2773-2780
- Publisher
- Wiley
- DOI
- 10.1002/lary.23549
- PMID
- 23070824
- PMCID
- PMC3522789
- ISSN
- 0023-852X
- eISSN
- 1531-4995
- Number of pages
- 8
- Grant note
- R01 DC008153; R01 DC05522; R01 DC008850; T32 DC009401 / NIH from the National Institute on Deafness and other Communicative Disorders R01DC008153 / NATIONAL INSTITUTE ON DEAFNESS AND OTHER COMMUNICATION DISORDERS; United States Department of Health & Human Services; National Institutes of Health (NIH) - USA; NIH National Institute on Deafness & Other Communication Disorders (NIDCD)
- Language
- English
- Date published
- 12/01/2012
- Academic Unit
- Otolaryngology
- Record Identifier
- 9984366364902771
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