Literature DB >> 23173880

Vocal fold vibration amplitude, open quotient, speed quotient and their variability along glottal length: kymographic data from normal subjects.

Jörg Lohscheller1, Jan G Svec, Michael Döllinger.   

Abstract

Abstract Quantitative knowledge about healthy vocal fold vibration characteristics provides the basis for an objective assessment of vocal fold vibrations. In this study, using high-speed videolaryngoscopy the alterations of the relative vibration amplitudes, open quotients, and speed quotients were analyzed along the glottal length in 30 male and 30 female healthy subjects. The maximum vibration amplitude was identified at 41.1% ± 10.8% and 46.5% ± 18.0% of the visible glottal length in females and males, respectively. The average open quotients decreased in females and males from posterior to anterior, while the speed quotients did not change systematically. The reported normative values can be used to distinguish normal and abnormal vibrations in clinical practice when aiming at quantitative diagnosis of functional voice disorders.

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Year:  2012        PMID: 23173880     DOI: 10.3109/14015439.2012.731083

Source DB:  PubMed          Journal:  Logoped Phoniatr Vocol        ISSN: 1401-5439            Impact factor:   1.487


  18 in total

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2.  Dynamic vocal fold parameters with changing adduction in ex-vivo hemilarynx experiments.

Authors:  Michael Döllinger; David A Berry; Stefan Kniesburges
Journal:  J Acoust Soc Am       Date:  2016-05       Impact factor: 1.840

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Journal:  J Eng Sci Med Diagn Ther       Date:  2022-04-27

5.  Vocal fold dynamics in a synthetic self-oscillating model: Intraglottal aerodynamic pressure and energy.

Authors:  Mohsen Motie-Shirazi; Matías Zañartu; Sean D Peterson; Byron D Erath
Journal:  J Acoust Soc Am       Date:  2021-08       Impact factor: 2.482

6.  Evaluation of clinical value of videokymography for diagnosis and treatment of voice disorders.

Authors:  Ketaki Vasant Phadke; Jitka Vydrová; Romana Domagalská; Jan G Švec
Journal:  Eur Arch Otorhinolaryngol       Date:  2017-08-30       Impact factor: 2.503

7.  Fully automatic segmentation of glottis and vocal folds in endoscopic laryngeal high-speed videos using a deep Convolutional LSTM Network.

Authors:  Mona Kirstin Fehling; Fabian Grosch; Maria Elke Schuster; Bernhard Schick; Jörg Lohscheller
Journal:  PLoS One       Date:  2020-02-10       Impact factor: 3.240

8.  Measurement of glottal cycle characteristics between children and adults: physiological variations.

Authors:  Rita R Patel; Denis Dubrovskiy; Michael Döllinger
Journal:  J Voice       Date:  2014-03-12       Impact factor: 2.009

9.  Vocal fold dynamics in a synthetic self-oscillating model: Contact pressure and dissipated-energy dose.

Authors:  Mohsen Motie-Shirazi; Matías Zañartu; Sean D Peterson; Byron D Erath
Journal:  J Acoust Soc Am       Date:  2021-07       Impact factor: 2.482

10.  Quantitative Analysis of Vocal Fold Vibration using High-Speed Videoendoscopy in Children with and without Bilateral Lesions.

Authors:  Stephanie R C Zacharias; Alessandro de Alarcon; Dimitar D Deliyski
Journal:  J Voice       Date:  2020-07-22       Impact factor: 2.009

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