title: Voice pathology classification based on High-Speed Videoendoscopy.
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.
authors.forename: D
authors.initials: D
authors.lastname: Panek
authors.forename: A
authors.initials: A
authors.lastname: Skalski
authors.forename: T
authors.initials: T
authors.lastname: Zielinski
authors.forename: D D
authors.initials: DD
authors.lastname: Deliyski
mesh_terms: D006801:Humans; D007828:Laryngoscopy; D007830:Larynx; D014732:Vibration; D014741:Video Recording; D014827:Vocal Cords; D014831:Voice; D014832:Voice Disorders