Voice pathology classification based on High-Speed Videoendoscopy

被引：0

作者：

Panek, D. ^{[1
]}

Skalski, A. ^{[1
]}

Zielinski, T. ^{[2
]}

Deliyski, D. D. ^{[3
]}

机构：

[1] AGH Univ Sci & Technol, Dept Measurement & Elect, Al Mickiewicza 30, PL-30059 Krakow, Poland

[2] AGH Univ Sci & Technol, Dept Telecommun, PL-30059 Krakow, Poland

[3] Cincinnati Childrens Hosp Med Ctr, Commun Sci Res Ctr, Cincinnati, OH 45229 USA

来源：

2015 37TH ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY (EMBC) | 2015年

关键词：

VOCAL-FOLD VIBRATIONS; QUANTIFICATION; DYNAMICS; HEALTHY;

D O I：

暂无

中图分类号：

R318 [生物医学工程];

学科分类号：

0831 ;

摘要：

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.

引用

页码：735 / 738

页数：4

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