Voice pathology classification based on High-Speed Videoendoscopy.

Voice pathology classification based on High-Speed Videoendoscopy.

Conf Proc IEEE Eng Med Biol Soc. 2015 Aug;2015:735-738

Authors: Panek D, Skalski A, Zielinski T, Deliyski DD

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.

PMID: 26736367 [PubMed - as supplied by publisher]

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