An empirical model linking intrinsic laryngeal muscle activation to vocal fold geometry and stiffness

2016 ◽  
Vol 140 (4) ◽  
pp. 3395-3395
Author(s):  
Zhaoyan Zhang ◽  
Dinesh K. Chhetri ◽  
Andrew M. Vahabzadeh-Hagh
Keyword(s):  
Empirical Model ◽  
Vocal Fold ◽  
Muscle Activation ◽  
Laryngeal Muscle ◽  
Intrinsic Laryngeal Muscle

scholarly journals Interaction Between the Thyroarytenoid and Lateral Cricoarytenoid Muscles in the Control of Vocal Fold Adduction and Eigenfrequencies

2014 ◽  
Vol 136 (11) ◽  
Author(s):  
Jun Yin ◽  
Zhaoyan Zhang
Keyword(s):  
Vocal Fold ◽  
Muscle Activation ◽  
Cricoid Cartilage ◽  
Voice Quality ◽  
Three Dimensional ◽  
Vocal Folds ◽  
Element Model ◽  
Anterior Portion ◽  
Posterior Portion ◽  
Laryngeal Muscle

Although it is known vocal fold adduction is achieved through laryngeal muscle activation, it is still unclear how interaction between individual laryngeal muscle activations affects vocal fold adduction and vocal fold stiffness, both of which are important factors determining vocal fold vibration and the resulting voice quality. In this study, a three-dimensional (3D) finite element model was developed to investigate vocal fold adduction and changes in vocal fold eigenfrequencies due to the interaction between the lateral cricoarytenoid (LCA) and thyroarytenoid (TA) muscles. The results showed that LCA contraction led to a medial and downward rocking motion of the arytenoid cartilage in the coronal plane about the long axis of the cricoid cartilage facet, which adducted the posterior portion of the glottis but had little influence on vocal fold eigenfrequencies. In contrast, TA activation caused a medial rotation of the vocal folds toward the glottal midline, resulting in adduction of the anterior portion of the glottis and significant increase in vocal fold eigenfrequencies. This vocal fold-stiffening effect of TA activation also reduced the posterior adductory effect of LCA activation. The implications of the results for phonation control are discussed.

Effects of Levodopa on Laryngeal Muscle Activity for Voice Onset and Offset in Parkinson Disease

2001 ◽  
Vol 44 (6) ◽  
pp. 1284-1299 ◽  
Author(s):  
Sally Gallena ◽  
Paul J. Smith ◽  
Thomas Zeffiro ◽  
Christy L. Ludlow
Keyword(s):  
Parkinson Disease ◽  
Muscle Activity ◽  
Vocal Fold ◽  
Muscle Activation ◽  
Activity Levels ◽  
Laryngeal Muscle ◽  
Idiopathic Parkinson Disease ◽  
Before And After ◽  
Research Volunteers ◽  
Thyroarytenoid Muscle

The laryngeal pathophysiology underlying the speech disorder in idiopathic Parkinson disease (IPD) was addressed in this electromyographic study of laryngeal muscle activity. This muscle activity was examined during voice onset and offset gestures in 6 persons in the early stages of IPD who were not receiving medication. The purpose was to determine (a) if impaired voice onset and offset control for speech and vocal fold bowing were related to abnormalities in laryngeal muscle activity in the nonmedicated state and (b) if these attributes change with levodopa. Blinded listeners rated the IPD participants' voice onset and offset control before and after levodopa was administered. In the nonmedi-cated state, the IPD participants' vocal fold bowing was examined on nasoendo-scopy, and laryngeal muscle activity levels were compared with normal research volunteers. The IPD participants were then administered a therapeutic dose of levodopa, and changes in laryngeal muscle activity for voice onset and offset gestures were measured during the same session. Significant differences were found between IPD participants in the nonmedicated state:those with higher levels of muscle activation had vocal fold bowing and greater impairment in voice onset and offset control for speech. Similarly, following levodopa administration, those with thyroarytenoid muscle activity reductions had greater improvements in voice onset and offset control for speech. In this study, voice onset and offset control ifficulties and vocal fold bowing were associated with increased levels of aryngeal muscle activity in the absence of medication.

scholarly journals Estimation of Subglottal Pressure, Vocal Fold Collision Pressure, and Intrinsic Laryngeal Muscle Activation From Neck-Surface Vibration Using a Neural Network Framework and a Voice Production Model

2021 ◽  
Vol 12 ◽  
Author(s):  
Emiro J. Ibarra ◽  
Jesús A. Parra ◽  
Gabriel A. Alzamendi ◽  
Juan P. Cortés ◽  
Víctor M. Espinoza ◽  
...  
Keyword(s):  
Vocal Fold ◽  
Muscle Activation ◽  
Production Model ◽  
Vocal Function ◽  
Voice Production ◽  
Laryngeal Muscle ◽  
Surface Vibration ◽  
Subglottal Pressure ◽  
The Mean ◽  
Collision Pressure

The ambulatory assessment of vocal function can be significantly enhanced by having access to physiologically based features that describe underlying pathophysiological mechanisms in individuals with voice disorders. This type of enhancement can improve methods for the prevention, diagnosis, and treatment of behaviorally based voice disorders. Unfortunately, the direct measurement of important vocal features such as subglottal pressure, vocal fold collision pressure, and laryngeal muscle activation is impractical in laboratory and ambulatory settings. In this study, we introduce a method to estimate these features during phonation from a neck-surface vibration signal through a framework that integrates a physiologically relevant model of voice production and machine learning tools. The signal from a neck-surface accelerometer is first processed using subglottal impedance-based inverse filtering to yield an estimate of the unsteady glottal airflow. Seven aerodynamic and acoustic features are extracted from the neck surface accelerometer and an optional microphone signal. A neural network architecture is selected to provide a mapping between the seven input features and subglottal pressure, vocal fold collision pressure, and cricothyroid and thyroarytenoid muscle activation. This non-linear mapping is trained solely with 13,000 Monte Carlo simulations of a voice production model that utilizes a symmetric triangular body-cover model of the vocal folds. The performance of the method was compared against laboratory data from synchronous recordings of oral airflow, intraoral pressure, microphone, and neck-surface vibration in 79 vocally healthy female participants uttering consecutive /pæ/ syllable strings at comfortable, loud, and soft levels. The mean absolute error and root-mean-square error for estimating the mean subglottal pressure were 191 Pa (1.95 cm H2O) and 243 Pa (2.48 cm H2O), respectively, which are comparable with previous studies but with the key advantage of not requiring subject-specific training and yielding more output measures. The validation of vocal fold collision pressure and laryngeal muscle activation was performed with synthetic values as reference. These initial results provide valuable insight for further vocal fold model refinement and constitute a proof of concept that the proposed machine learning method is a feasible option for providing physiologically relevant measures for laboratory and ambulatory assessment of vocal function.

The effects of diazepam on intrinsic laryngeal muscle activation during respiration and speech

1988 ◽  
Vol 2 (1) ◽  
pp. 70-77 ◽  
Author(s):  
Christy L. Ludlow ◽  
Geralyn M. Schulz ◽  
Ralph F. Naunton
Keyword(s):  
Muscle Activation ◽  
Laryngeal Muscle ◽  
Intrinsic Laryngeal Muscle

Nitrergic neurons in the canine intrinsic laryngeal muscle

1996 ◽  
Vol 203 (1) ◽  
pp. 45-48 ◽  
Author(s):  
Yasuo Hisa ◽  
Shinobu Koike ◽  
Toshiyuki Uno ◽  
Nobuhisa Tadaki ◽  
Masaki Tanaka ◽  
...  
Keyword(s):  
Laryngeal Muscle ◽  
Intrinsic Laryngeal Muscle

scholarly journals DIAPHRAGM (DPM) PLASTICITY FOLLOWING INTRINSIC LARYNGEAL MUSCLE DENERVATION (ILMX).

1999 ◽  
Vol 31 (Supplement) ◽  
pp. S219
Author(s):  
J. R. Rodman ◽  
L. E. Gosselin ◽  
P. Horvath ◽  
D. Megirian ◽  
G. A. Farkas
Keyword(s):  
Muscle Denervation ◽  
Laryngeal Muscle ◽  
Intrinsic Laryngeal Muscle
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