Modeling the Pathophysiology of Phonotraumatic Vocal Hyperfunction With a Triangular Glottal Model of the Vocal Folds

Galindo, Gabriel E.; Peterson, Sean D.; Erath, Byron D.; Castro, Christian; Hillman, Robert E.; Zañartu, Matías

doi:10.1044/2017_jslhr-s-16-0412

Cited by 43 publications

(67 citation statements)

References 73 publications

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“…These results are largely consistent with previous findings. For example, the large positive effect of the subglottal pressure on the peak contact pressure has been consistently reported in previous studies (Jiang and Titze, 1994;Tao et al, 2006;Galindo et al, 2017). The peak contact pressure often occurs at the middle region along the AP direction, TABLE III.…”

Section: Discussionsupporting

confidence: 75%

Vocal fold contact pressure in a three-dimensional body-cover phonation model

Zhang

2019

The Journal of the Acoustical Society of America

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The goal of this study is to identify vocal fold geometric and mechanical conditions that are likely to produce large contact pressure and thus high risk of vocal fold injury. Using a three-dimensional computational model of phonation, parametric simulations are performed with co-variations in vocal fold geometry and stiffness, with and without a vocal tract. For each simulation, the peak contact pressure is calculated. The results show that the subglottal pressure and the transverse stiffness of the vocal folds in the coronal plane have the largest and most consistent effect on the peak contact pressure, indicating the importance of maintaining a balance between the subglottal pressure and transverse stiffness to avoiding vocal fold injury. The presence of a vocal tract generally increases the peak contact pressure, particularly for an open-mouth vocal tract configuration. While a low degree of vocal fold approximation significantly reduces vocal fold contact pressure, for conditions of moderate and tight vocal fold approximation changes in vocal fold approximation may increase or decrease the peak contact pressure. The effects of the medial surface thickness and vocal fold stiffness along the anterior−posterior direction are similarly inconsistent and vary depending on other control parameters and the vocal tract configuration.

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Section: Discussionsupporting

confidence: 75%

Vocal fold contact pressure in a three-dimensional body-cover phonation model

Zhang

2019

The Journal of the Acoustical Society of America

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“…A more sophisticated model relying on, e.g., a Navier-Stokes airflow model is necessary to capture effects such as the source-filter interaction of the supgraglottal tract and vocal fold dynamics [48], [49]. Furthermore, it does not account for the often present posterior gap, which has been shown to be associated with the subglottal pressure [50], [51]. A detailed discussion of conceptual limitations is given by Erath et al [33].…”

Section: Methods and Proceduresmentioning

confidence: 99%

Laryngeal Pressure Estimation With a Recurrent Neural Network

Gómez

Schützenberger

Semmler

et al. 2019

IEEE J. Transl. Eng. Health Med.

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Quantifying the physical parameters of voice production is essential for understanding the process of phonation and can aid in voice research and diagnosis. As an alternative to invasive measurements, they can be estimated by formulating an inverse problem using a numerical forward model. However, high-fidelity numerical models are often computationally too expensive for this. This paper presents a novel approach to train a long short-term memory network to estimate the subglottal pressure in the larynx at massively reduced computational cost using solely synthetic training data. We train the network on synthetic data from a numerical two-mass model and validate it on experimental data from 288 high-speed ex vivo video recordings of porcine vocal folds from a previous study. The training requires significantly fewer model evaluations compared with the previous optimization approach. On the test set, we maintain a comparable performance of 21.2% versus previous 17.7% mean absolute percentage error in estimating the subglottal pressure. The evaluation of one sample requires a vanishingly small amount of computation time. The presented approach is able to maintain estimation accuracy of the subglottal pressure at significantly reduced computational cost. The methodology is likely transferable to estimate other parameters and training with other numerical models. This improvement should allow the adoption of more sophisticated, high-fidelity numerical models of the larynx. The vast speedup is a critical step to enable a future clinical application and knowledge of parameters such as the subglottal pressure will aid in diagnosis and treatment selection.

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“…Both direct and indirect measures of contact forces have been investigated using theoretical [9,10], experimental [11][12][13][14], and computational approaches [15][16][17][18][19][20][21]. Efforts focused on directly measuring VF contact are of particular interest as successful techniques would be easily applicable to clinical investigations.…”

Section: Introductionmentioning

confidence: 99%

Toward Development of a Vocal Fold Contact Pressure Probe: Sensor Characterization and Validation Using Synthetic Vocal Fold Models

et al. 2019

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Excessive vocal fold collision pressures during phonation are considered to play a primary role in the formation of benign vocal fold lesions, such as nodules. The ability to accurately and reliably acquire intraglottal pressure has the potential to provide unique insights into the pathophysiology of phonotrauma. Difficulties arise, however, in directly measuring vocal fold contact pressures due to physical intrusion from the sensor that may disrupt the contact mechanics, as well as difficulty in determining probe/sensor position relative to the contact location. These issues are quantified and addressed through the implementation of a novel approach for identifying the timing and location of vocal fold contact, and measuring intraglottal and vocal fold contact pressures via a pressure probe embedded in the wall of a hemi-laryngeal flow facility. The accuracy and sensitivity of the pressure measurements are validated against ground truth values. Application to in vivo approaches are assessed by acquiring intraglottal and VF contact pressures using a synthetic, self-oscillating vocal fold model in a hemi-laryngeal configuration, where the sensitivity of the measured intraglottal and vocal fold contact pressure relative to the sensor position is explored.

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Modeling the Pathophysiology of Phonotraumatic Vocal Hyperfunction With a Triangular Glottal Model of the Vocal Folds

Cited by 43 publications

References 73 publications

Vocal fold contact pressure in a three-dimensional body-cover phonation model

Vocal fold contact pressure in a three-dimensional body-cover phonation model

Laryngeal Pressure Estimation With a Recurrent Neural Network

Toward Development of a Vocal Fold Contact Pressure Probe: Sensor Characterization and Validation Using Synthetic Vocal Fold Models

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