Title :
Voice pathology classification based on High-Speed Videoendoscopy
Author :
D. Panek;A. Skalski;T. Zielinski;D.D. Deliyski
Author_Institution :
AGH University of Science and Technology, Al. Mickiewicza 30, 30-059 Krakow, Department of Measurement and Electronics, Poland
Abstract :
This work presents a method for automatical and objective classification of patients with healthy and pathological vocal fold vibration impairments using High-Speed Videoendoscopy of the larynx. We used an image segmentation and extraction of a novel set of numerical parameters describing the spatio-temporal dynamics of vocal folds to classification according to the normal and pathological cases and achieved 73,3% cross-validation classification accuracy. This approach is promising to develop an automatic diagnosis tool of voice disorders.
Keywords :
"Pathology","Image segmentation","Vibrations","Acoustics","Oscillators","Level set","Yttrium"
Conference_Titel :
Engineering in Medicine and Biology Society (EMBC), 2015 37th Annual International Conference of the IEEE
Electronic_ISBN :
1558-4615
DOI :
10.1109/EMBC.2015.7318467