Abstract
Videostroboscopy is a common technique used by phoniatricians for diagnosing vocal folds status by imaging their oscillations. Implementation of image processing methods allows to extract qualitative description and quantitative indices. Such an analysis approach allows to detect glottal pathological changes and monitor the voice quality. Presented analysis of the videostroboscopic sequences were carried for 12 individuals i.e. 6 patients with diagnosed vocal nodules and 6 normophonic individuals classified as a control group. Image pre-processing and image segmentation algorithms were applied to compute the glottal area waveform (GAW) and the glottovibragram during phonation and to build a novel representation of vocal folds oscillations which we called the glottocorrelogram. The obtained results confirm that computer analysis and new representations of the phonation process of the glottis can aid the phoniatricians in diagnosis of voice disorders.
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Acknowledgments
This work was supported by the National Science Centre, Poland, grant PRELUDIUM no. UMO-2016/21/N/ST6/02612 in years 2017–2019.
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Kopczynski, B., Strumillo, P., Niebudek-Bogusz, E. (2018). Glottocorrelographic Visualization of Normal and Pathological Vocal Folds Oscillations from Videolaryngostroboscopic Images. In: Augustyniak, P., Maniewski, R., Tadeusiewicz, R. (eds) Recent Developments and Achievements in Biocybernetics and Biomedical Engineering. PCBBE 2017. Advances in Intelligent Systems and Computing, vol 647. Springer, Cham. https://doi.org/10.1007/978-3-319-66905-2_17
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DOI: https://doi.org/10.1007/978-3-319-66905-2_17
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