Literature DB >> 32610028

Estimation of Subglottal Pressure From Neck Surface Vibration in Patients With Voice Disorders.

Katherine L Marks1,2, Jonathan Z Lin1, James A Burns1,3, Tiffiny A Hron1,3, Robert E Hillman1,2,3,4, Daryush D Mehta1,2,3,4.   

Abstract

Purpose Given the established linear relationship between neck surface vibration magnitude and mean subglottal pressure (Ps) in vocally healthy speakers, the purpose of this study was to better understand the impact of the presence of a voice disorder on this baseline relationship. Method Data were obtained from participants with voice disorders representing a variety of glottal conditions, including phonotraumatic vocal hyperfunction, nonphonotraumatic vocal hyperfunction, and unilateral vocal fold paralysis. Participants were asked to repeat /p/-vowel syllable strings from loud-to-soft loudness levels in multiple vowel contexts (/pa/, /pi/, /pu/) and pitch levels (comfortable, higher than comfortable, lower than comfortable). Three statistical metrics were computed to analyze the regression line between neck surface accelerometer (ACC) signal magnitude and Ps within and across pitch, vowel, and voice disorder category: coefficient of determination (r 2), slope, and intercept. Three linear mixed-effects models were used to evaluate the impact of voice disorder category, pitch level, and vowel context on the relationship between ACC signal magnitude and Ps. Results The relationship between ACC signal magnitude and Ps was statistically different in patients with voice disorders than in vocally healthy controls; patients exhibited higher levels of Ps given similar values of ACC signal magnitude. Negligible effects were found for pitch condition within each voice disorder category, and negligible-to-small effects were found for vowel context. The mean of patient-specific r 2 values was .63, ranging from .13 to .92. Conclusions The baseline, linear relationship between ACC signal magnitude and Ps is affected by the presence of a voice disorder, with the relationship being participant-specific. Further work is needed to improve ACC-based prediction of Ps, across treatment, and during naturalistic speech production.

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Year:  2020        PMID: 32610028      PMCID: PMC7838842          DOI: 10.1044/2020_JSLHR-19-00409

Source DB:  PubMed          Journal:  J Speech Lang Hear Res        ISSN: 1092-4388            Impact factor:   2.297


  39 in total

1.  Cricothyroid subluxation: a new innovation for enhancing the voice with laryngoplastic phonosurgery.

Authors:  S M Zeitels; R E Hillman; R B Desloge; G A Bunting
Journal:  Ann Otol Rhinol Laryngol       Date:  1999-12       Impact factor: 1.547

2.  Montgomery Thyroplasty Implant for vocal fold immobility: phonatory outcomes.

Authors:  A McLean-Muse; W W Montgomery; R E Hillman; M Varvares; G Bunting; P Doyle; J Eng
Journal:  Ann Otol Rhinol Laryngol       Date:  2000-04       Impact factor: 1.547

Review 3.  Effects of voice therapy: a systematic review.

Authors:  R Speyer
Journal:  J Voice       Date:  2007-05-16       Impact factor: 2.009

4.  Aerodynamic and acoustic features of vocal effort.

Authors:  Allison L Rosenthal; Soren Y Lowell; Raymond H Colton
Journal:  J Voice       Date:  2014-01-09       Impact factor: 2.009

5.  Pressure measurements during speech production using semiconductor miniature pressure transducers: impact on models for speech production.

Authors:  B Cranen; L Boves
Journal:  J Acoust Soc Am       Date:  1985-04       Impact factor: 1.840

6.  Subglottal Impedance-Based Inverse Filtering of Voiced Sounds Using Neck Surface Acceleration.

Authors:  Matías Zañartu; Julio C Ho; Daryush D Mehta; Robert E Hillman; George R Wodicka
Journal:  IEEE Trans Audio Speech Lang Process       Date:  2013-09

7.  Measurement of vocal fold collision forces during phonation: methods and preliminary data.

Authors:  Heather E Gunter; Robert D Howe; Steven M Zeitels; James B Kobler; Robert E Hillman
Journal:  J Speech Lang Hear Res       Date:  2005-06       Impact factor: 2.297

8.  Impact of Nonmodal Phonation on Estimates of Subglottal Pressure From Neck-Surface Acceleration in Healthy Speakers.

Authors:  Katherine L Marks; Jonathan Z Lin; Annie B Fox; Laura E Toles; Daryush D Mehta
Journal:  J Speech Lang Hear Res       Date:  2019-09-13       Impact factor: 2.297

9.  An Oral Pressure Conversion Ratio as a Predictor of Vocal Efficiency.

Authors:  Ingo R Titze; Lynn Maxfield; Anil Palaparthi
Journal:  J Voice       Date:  2015-07-09       Impact factor: 2.009

10.  Relationships between vocal function measures derived from an acoustic microphone and a subglottal neck-surface accelerometer.

Authors:  Daryush D Mehta; Jarrad H Van Stan; Robert E Hillman
Journal:  IEEE/ACM Trans Audio Speech Lang Process       Date:  2016-01-11
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  5 in total

1.  Changes in the Daily Phonotrauma Index Following the Use of Voice Therapy as the Sole Treatment for Phonotraumatic Vocal Hyperfunction in Females.

Authors:  Jarrad H Van Stan; Andrew J Ortiz; Katherine L Marks; Laura E Toles; Daryush D Mehta; James A Burns; Tiffiny Hron; Tara Stadelman-Cohen; Carol Krusemark; Jason Muise; Annie B Fox; Charles Nudelman; Steven Zeitels; Robert E Hillman
Journal:  J Speech Lang Hear Res       Date:  2021-08-31       Impact factor: 2.297

2.  Characterization of Source-Filter Interactions in Vocal Vibrato Using a Neck-Surface Vibration Sensor: A Pilot Study.

Authors:  Rosemary A Lester-Smith; Elaina Derrick; Charles R Larson
Journal:  J Voice       Date:  2021-10-11       Impact factor: 2.009

3.  Psychometric Analysis of an Ecological Vocal Effort Scale in Individuals With and Without Vocal Hyperfunction During Activities of Daily Living.

Authors:  Katherine L Marks; Alessandra Verdi; Laura E Toles; Kaila L Stipancic; Andrew J Ortiz; Robert E Hillman; Daryush D Mehta
Journal:  Am J Speech Lang Pathol       Date:  2021-10-19       Impact factor: 4.018

4.  Differences in Daily Voice Use Measures Between Female Patients With Nonphonotraumatic Vocal Hyperfunction and Matched Controls.

Authors:  Jarrad H Van Stan; Andrew J Ortiz; Juan P Cortes; Katherine L Marks; Laura E Toles; Daryush D Mehta; James A Burns; Tiffiny Hron; Tara Stadelman-Cohen; Carol Krusemark; Jason Muise; Annie B Fox-Galalis; Charles Nudelman; Steven Zeitels; Robert E Hillman
Journal:  J Speech Lang Hear Res       Date:  2021-04-23       Impact factor: 2.297

5.  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.

Authors:  Emiro J Ibarra; Jesús A Parra; Gabriel A Alzamendi; Juan P Cortés; Víctor M Espinoza; Daryush D Mehta; Robert E Hillman; Matías Zañartu
Journal:  Front Physiol       Date:  2021-09-01       Impact factor: 4.566

  5 in total

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