Paper Title :Estimation of the Degree of Dysphagia using Video fluoroscopic Swallowing Images
Author :Kyoung Won Nam, Jun Chang Lee, Young Jun Hwang, Gun Ho Kim, Gye Rok Jeon, In Young Kim
Article Citation :Kyoung Won Nam ,Jun Chang Lee ,Young Jun Hwang ,Gun Ho Kim ,Gye Rok Jeon ,In Young Kim ,
(2017 ) " Estimation of the Degree of Dysphagia using Video fluoroscopic Swallowing Images " ,
International Journal of Advances in Science, Engineering and Technology(IJASEAT) ,
pp. 15-18,
Volume-5, Issue-4
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.
Type : Research paper
Published : Volume-5, Issue-4
DOIONLINE NO - IJASEAT-IRAJ-DOIONLINE-9831
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Copyright: © Institute of Research and Journals
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Published on 2018-01-05 |
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