| Literature DB >> 26736367 |
D Panek, A Skalski, T Zielinski, D D Deliyski.
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.Entities:
Mesh：
Year: 2015 PMID： 26736367 PMCID： PMC6810684 DOI： 10.1109/EMBC.2015.7318467
Source DB: PubMed Journal: Conf Proc IEEE Eng Med Biol Soc ISSN： 1557-170X