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.