International Journal of Advances in Science, Engineering and Technology(IJASEAT)
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Volume-8,Issue-1  ( Jan, 2020 )
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Submitted Papers : 80
Accepted Papers : 10
Rejected Papers : 70
Acc. Perc : 12%
  Journal Paper

Paper Title
Estimation of the Degree of Dysphagia using Video fluoroscopic Swallowing Images

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.

Author - Kyoung Won Nam, Jun Chang Lee, Young Jun Hwang, Gun Ho Kim, Gye Rok Jeon, In Young Kim

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| Published on 2018-01-05
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