Variability of Normal Vocal Fold Dynamics for Different Vocal Loading in One Healthy Subject Investigated by Phonovibrograms

Doellinger, Michael; Lohscheller, Jörg; McWhorter, Andrew J.; Kunduk, Melda

doi:10.1016/j.jvoice.2007.09.008

Cited by 41 publications

(31 citation statements)

References 31 publications

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“…The analysis of vocal fold dynamics presented here is performed by extracting in a first step the vibrating vocal fold edges from the HSV stream (33) and condensing the extracted vocal fold dynamics into PVGs (27,28). Former studies already showed that PVGs are principally suitable for detecting even slight inter-and intraindividual changes of vocal fold dynamics (29,35).…”

Section: Discussionmentioning

confidence: 99%

A Noninvasive Procedure for Early-Stage Discrimination of Malignant and Precancerous Vocal Fold Lesions Based on Laryngeal Dynamics Analysis

et al. 2015

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About two thirds of laryngeal cancers originate at the vocal cords. Early-stage detection of malignant vocal fold alterations, including a discrimination of premalignant lesions, represents a major challenge in laryngology as precancerous vocal fold lesions and small carcinomas are difficult to distinguish by means of regular endoscopy only. We report a procedure to discriminate between malignant and precancerous lesions by measuring the characteristics of vocal fold dynamics by means of a computerized analysis of laryngeal high-speed videos. Ten patients with squamous cell T1a carcinoma, ten with precancerous lesions with hyperkeratosis, and ten subjects without laryngeal disease underwent high-speed laryngoscopy yielding 4,000 images per second. By means of wavelet-based phonovibrographic analysis, a set of three clinically meaningful vibratory measures was extracted from the videos comprising a total number of 15,000 video frames. Statistical analysis (ANOVA with post hoc two-sided t tests, P < 0.05) revealed that vocal fold dynamics is significantly affected in the presence of precancerous lesions and T1a carcinoma. On the basis of the three measures, a discriminating pattern was extracted using a support vector machine-learning algorithm performing an individual classification in respect to the different clinical groups. By applying a leave-one-out cross-validation strategy, we could show that the proposed measures discriminate with a very high performance between precancerous lesions and T1a carcinoma (sensitivity, 100%; specificity, 100%). Although a large-scale study will be necessary to confirm clinical significance, the set of vibratory measures derived in this study may be applicable to improve the accuracy and reliability of noninvasive diagnostics of vocal fold lesions. Cancer Res; 75(1); 31-39. Ó2014 AACR.

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Section: Discussionmentioning

confidence: 99%

A Noninvasive Procedure for Early-Stage Discrimination of Malignant and Precancerous Vocal Fold Lesions Based on Laryngeal Dynamics Analysis

et al. 2015

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“…Effects of vocal load have been examined in several experiments, differing from one to another in terms of loading task and experimental environment. Some studies have observed the effect of vocal load using a natural speech material, [2][3][4][5][6][7][8][9] whereas others have used a loading task as prolonged loud reading [10][11][12][13][14][15][16][17][18][19][20][21][22][23][24] or repeated vowel sequence. 25 The duration and intensity level of such loading tasks have varied across studies as well as the moment and duration of recordings.…”

Section: Introductionmentioning

confidence: 99%

“…Voice samples have been analyzed either throughout the vocal load using audiotape recorders 4,7,14 and dosimeters or at different times before and after loading. 2,3,[5][6][7][10][11][12][13][15][16][17][19][20][21][22][23][24][25] Some experiments have taken place in a laboratory environment, [10][11][12][13][14][15][16][17][18][19][20][21][22][23][24] whereas others have studied subject's vocal load, during the working day. [2][3][4][5][6][7][8][9] The present study has been initiated to improve the understanding of voice duration and intensity level as loading factors.…”

Section: Introductionmentioning

confidence: 99%

“…10,12,13,21 Recent studies using high-speed digital imaging with phonovibrograms have identified vibration behavior changes in healthy voices concerning closing and opening dynamics and more leftright vocal fold asymmetries. 2,15 Acoustically, the majority of the studies have demonstrated a raise in fundamental frequency (F0) [3][4][5][6][7]9,10,19,21 and intensity 5,6,19 of voice and a decrease in instability values (jitter and shimmer). 6,21 Some authors 5,7 have considered these results as a normal adaptation to loading.…”

Section: Introductionmentioning

confidence: 99%

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Vocal Impact of a Prolonged Reading Task at Two Intensity Levels: Objective Measurements and Subjective Self-Ratings

et al. 2012

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Summary: Objectives. The objectives of this study are to evaluate the impact on voice of both duration and intensity level of 2 hours of continuous oral reading. Voice modifications accompanying changes in intensity level during prolonged reading tasks are analyzed. Methods. Fifty normophonic women undergo two sessions of voice loading in which the required intensity level of voice varied between 60-65 dB(A) for the first session and 70-75 dB(A) for the second session. The effects of loading on objective data (average fundamental frequency [F0], jitter%, shimmer%, noise-to-harmonic ratio, maximum phonation time, lowest frequency [F-Low], highest frequency [F-High], frequency range [Range], lowest intensity [I-Low] level, and highest intensity level) and self-ratings (voice quality, phonation effort, vocal fatigue, and laryngeal discomfort) are assessed every 30 minutes during the loading tasks. Results. Results indicate that average F0, F-Low, I-Low, maximum phonation time, feeling of phonation effort, vocal fatigue, and laryngeal discomfort increase during prolonged reading, whereas shimmer% and self-rating of voice quality decrease. Average F0, F-High, and Range are the only parameters influenced by the required intensity of vocal load; they are significantly higher in the 70-to 75-dB session compared with the 60-to 65-dB session. Concerning the subjective self-ratings, similar results for the four ratings used suggest that only one would suffice in future studies. Conclusions. These results confirm the importance of both duration and intensity level as loading factors, even if intensity level affects fewer variables than duration.

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“…Phonasthenia/vocal fatigue measurements reported in the literature include self-rating scales [1, 14], auditory perceptual assessment [2, 11], acoustic measures [2, 6, 13, 18, 23], aerodynamic measures [1, 4, 6, 16], video stroboscopic examination [1, 2, 6, 24, 25], voice range profile study [26], phonovibrograms [27], electromyography [28], and videokymography (VKG) [29, 30]. …”

Section: Introductionmentioning

confidence: 99%

Videokymographic Visualization of Phonasthenia: A Nonorganic Voice Disorder

Shadi¹,

Hegazi²,

Nassar³

et al. 2016

Folia Phoniatr Logop

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Background: Phonasthenia is a voice disorder where the larynx looks essentially normal and dysphonia is not heard but felt by the patient. This study aims to use videokymography (VKG) to detect any abnormalities in the vibratory pattern in phonasthenia and to find out whether or not these abnormalities change after vocal loading. Methods: Thirty-seven phonasthenic patients and 31 normal subjects participated in a detailed protocol, including analysis of subjective complaints and videokymographic quasi-objective parameters (baseline) followed by loading their voices through prolonged loud reading for 45 min. A second evaluation (experimental) was done after loading. Results: Before vocal loading, patients had significantly more symptoms in all questionnaire questions and higher maximum width difference in VKG than controls. When pre- and postloading values were compared, both groups experienced more symptoms after loading (significant in most of the questions), while the pre- and post-VKG parameters did not show significant differences neither in patients nor controls. On comparing their percent change, the only statistically significant difference between the 2 groups was a greater change in the total score of the questionnaire in the control group. Conclusion: Patients had more vocal fatigue symptoms and more amplitude asymmetry between left and right vocal folds than normal subjects.

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Variability of Normal Vocal Fold Dynamics for Different Vocal Loading in One Healthy Subject Investigated by Phonovibrograms

Cited by 41 publications

References 31 publications

A Noninvasive Procedure for Early-Stage Discrimination of Malignant and Precancerous Vocal Fold Lesions Based on Laryngeal Dynamics Analysis

A Noninvasive Procedure for Early-Stage Discrimination of Malignant and Precancerous Vocal Fold Lesions Based on Laryngeal Dynamics Analysis

Vocal Impact of a Prolonged Reading Task at Two Intensity Levels: Objective Measurements and Subjective Self-Ratings

Videokymographic Visualization of Phonasthenia: A Nonorganic Voice Disorder

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