DOIONLINE 
DOIONLINE Publish In |
International Journal of Advances in Science, Engineering and Technology(IJASEAT)-IJASEAT |
 Journal Home Volume Issue |
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Issue |
Volume-5, Issue-4 ( Oct, 2017 ) | |||||||||
Paper Title |
Estimation of the Degree of Dysphagia using Video fluoroscopic Swallowing Images | |||||||||
Author Name |
Kyoung Won Nam, Jun Chang Lee, Young Jun Hwang, Gun Ho Kim, Gye Rok Jeon, In Young Kim | |||||||||
Affilition |
Department of Biomedical Engineering, Pusan National University Yangsan Hospital, Yangsan, Korea Department of Biomedical Engineering, Hanyang University, Seoul, Korea Department of Medical Science, School of Medicine, Pusan National University, Yangsan, Korea | |||||||||
Pages |
15-18 | |||||||||
Abstract |
In this study, a diagnostic algorithm that can automatically estimate the severity of dysphagia by using 94 video fluoroscopic swallowing videos from severe and mild dysphagic patientsis proposed.Fourteen features were selected according to the results of intuitive difference investigation between two patient groups and the extracted features were applied to a support vector machine with linear kernel function. Investigation results showed that the selection of appropriate intuitive differences could result in higher classification accuracy. Keywords - Dysphagia, Classification, Videofluoroscopic, Swallow, Hyoid bone. | |||||||||
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