Document Detail

A fuzzy logic diagnosis system for classification of pharyngeal dysphagia.
MedLine Citation:
PMID:  7774979     Owner:  NLM     Status:  MEDLINE    
Identification and classification of the dysphagic patient at risk of aspiration is important from a clinical point of view. Recently, we have developed techniques to quantify various biomechanical parameters that characterize the dysphagic patient, and have developed an expert system to classify patients based on these measurements. The purpose of the present investigation was to develop a fuzzy logic diagnosis system for classification of the patient with pharyngeal dysphagia into four categories of risk for aspiration. Non-invasive acceleration and swallow pressure measurements were obtained and five parameters were extracted from these measurements. A set of membership functions were defined for each parameter. The measured parameter values were fuzzified and fed to a rule base which provided a set of output membership values corresponding to each of the categories. The set of output values were defuzzified to obtain a continuous measure of classification. The fuzzy system was evaluated using the data obtained from 22 subjects. There was a complete agreement between the fuzzy system classification and the clinician's classification in 18 of the 22 patients. The fuzzy system overestimated the risk by half a category in two patients and underestimated by half a category in two patients. The fuzzy logic diagnosis system, together with the biomechanical measures, provides a tool for continued patient assessment on a daily basis to identify the patient who needs further videofluorography examination.
S Suryanarayanan; N P Reddy; E P Canilang
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Publication Detail:
Type:  Journal Article; Research Support, U.S. Gov't, P.H.S.    
Journal Detail:
Title:  International journal of bio-medical computing     Volume:  38     ISSN:  0020-7101     ISO Abbreviation:  Int. J. Biomed. Comput.     Publication Date:  1995 Mar 
Date Detail:
Created Date:  1995-07-12     Completed Date:  1995-07-12     Revised Date:  2007-11-14    
Medline Journal Info:
Nlm Unique ID:  0252005     Medline TA:  Int J Biomed Comput     Country:  IRELAND    
Other Details:
Languages:  eng     Pagination:  207-15     Citation Subset:  IM    
Department of Biomedical Engineering, University of Akron, OH 44325-0302, USA.
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MeSH Terms
Deglutition Disorders / classification*,  diagnosis,  etiology
Diagnosis, Computer-Assisted*
Expert Systems*
Fuzzy Logic*
Pharyngeal Diseases / complications*
Reproducibility of Results
Grant Support
1R15-DC01564-01/DC/NIDCD NIH HHS

From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine

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