Journal article
Application of Classification Models to Pharyngeal High-Resolution Manometry
Journal of speech, language, and hearing research, Vol.55(3), pp.892-902
06/01/2012
DOI: 10.1044/1092-4388(2011/11-0088)
PMCID: PMC3501389
PMID: 22232390
Abstract
Purpose: The authors present 3 methods of performing pattern recognition on spatiotemporal plots produced by pharyngeal high-resolution manometry (HRM).
Method: Classification models, including the artificial neural networks (ANNs) multilayer perceptron (MLP) and learning vector quantization (LVQ), as well as support vector machines (SVM), were evaluated for their ability to identify disordered swallowing. Data were collected from 12 control subjects and 13 subjects with swallowing disorders; for this experiment, these subjects swallowed 5-ml water boluses. Following extraction of relevant parameters, a subset of the data was used to train the models, and the remaining swallows were then independently classified by the networks.
Results: All methods produced high average classification accuracies, with MLP, SVM, and LVQ achieving accuracies of 96.44%, 91.03%, and 85.39%, respectively. When evaluating the individual contributions of each parameter and groups of parameters to the classification accuracy, parameters pertaining to the upper esophageal sphincter were most valuable.
Conclusion: Classification models show high accuracy in segregating HRM data sets and represent 1 method of facilitating application of HRM to the clinical setting by eliminating the time required for some aspects of data extraction and interpretation.
Details
- Title: Subtitle
- Application of Classification Models to Pharyngeal High-Resolution Manometry
- Creators
- Jason D. Mielens - University of Wisconsin–MadisonMatthew R. Hoffman - University of Wisconsin School of Medicine and Public HealthMichelle R. Ciucci - University of Wisconsin–MadisonTimothy M. McCulloch - University of Wisconsin–MadisonJack J. Jiang - University of Wisconsin–Madison
- Resource Type
- Journal article
- Publication Details
- Journal of speech, language, and hearing research, Vol.55(3), pp.892-902
- Publisher
- Amer Speech-Language-Hearing Assoc
- DOI
- 10.1044/1092-4388(2011/11-0088)
- PMID
- 22232390
- PMCID
- PMC3501389
- ISSN
- 1092-4388
- eISSN
- 1558-9102
- Number of pages
- 11
- Grant note
- R01 DC008850; R21 DC011130A; P30 DC010754 / 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) R01AI066219 / NATIONAL INSTITUTE OF ALLERGY AND INFECTIOUS DISEASES; United States Department of Health & Human Services; National Institutes of Health (NIH) - USA; NIH National Institute of Allergy & Infectious Diseases (NIAID) R33DC011130 / 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
- 06/01/2012
- Academic Unit
- Otolaryngology
- Record Identifier
- 9984366361602771
Metrics
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