Literature DB >> 28329366

Ambulatory Voice Biofeedback: Relative Frequency and Summary Feedback Effects on Performance and Retention of Reduced Vocal Intensity in the Daily Lives of Participants With Normal Voices.

Jarrad H Van Stan1, Daryush D Mehta1, Dagmar Sternad2, Robert Petit3, Robert E Hillman1.   

Abstract

Purpose: Ambulatory voice biofeedback has the potential to significantly improve voice therapy effectiveness by targeting carryover of desired behaviors outside the therapy session (i.e., retention). This study applies motor learning concepts (reduced frequency and delayed, summary feedback) that demonstrate increased retention to ambulatory voice monitoring for training nurses to talk softer during work hours. Method: Forty-eight nurses with normal voices wore the Voice Health Monitor (Mehta, Zañartu, Feng, Cheyne, & Hillman, 2012) for 6 days: 3 baseline days, 1 biofeedback day, 1 short-term retention day, and 1 long-term retention day. Participants were block-randomized into 3 different biofeedback groups: 100%, 25%, and Summary. Performance was measured in terms of compliance time below a participant-specific vocal intensity threshold.
Results: All participants exhibited a significant increase in compliance time (Cohen's d = 4.5) during biofeedback days compared with baseline days. The Summary feedback group exhibited statistically smaller performance reduction during both short-term (d = 1.14) and long-term (d = 1.04) retention days compared with the 100% feedback group. Conclusions: These findings suggest that modifications in feedback frequency and timing affect retention of a modified vocal behavior in daily life. Future work calls for studying the potential beneficial impact of ambulatory voice biofeedback in participants with behaviorally based voice disorders.

Entities:  

Mesh:

Year:  2017        PMID: 28329366      PMCID: PMC5548081          DOI: 10.1044/2016_JSLHR-S-16-0164

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


  47 in total

1.  Summary knowledge of results for skill acquisition: support for the guidance hypothesis.

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3.  Modeling the effects of a posterior glottal opening on vocal fold dynamics with implications for vocal hyperfunction.

Authors:  Matías Zañartu; Gabriel E Galindo; Byron D Erath; Sean D Peterson; George R Wodicka; Robert E Hillman
Journal:  J Acoust Soc Am       Date:  2014-12       Impact factor: 1.840

4.  Creating a culture of safety: reducing hospital noise.

Authors:  Susan E Mazer
Journal:  Biomed Instrum Technol       Date:  2012 Sep-Oct

5.  The prevalence of voice problems among adults in the United States.

Authors:  Neil Bhattacharyya
Journal:  Laryngoscope       Date:  2014-05-27       Impact factor: 3.325

6.  Simple biofeedback device to reduce excessive vocal intensity.

Authors:  R McGillivray; K Proctor-Williams; B McLister
Journal:  Med Biol Eng Comput       Date:  1994-05       Impact factor: 2.602

7.  The relationship between perception of vocal effort and relative fundamental frequency during voicing offset and onset.

Authors:  Cara E Stepp; Devon E Sawin; Tanya L Eadie
Journal:  J Speech Lang Hear Res       Date:  2012-05-21       Impact factor: 2.297

8.  Staining of human thyroarytenoid muscle with myosin antibodies reveals some unique extrafusal fibers, but no muscle spindles.

Authors:  Carla A Brandon; Clark Rosen; George Georgelis; Michael J Horton; Mark P Mooney; James J Sciote
Journal:  J Voice       Date:  2003-06       Impact factor: 2.009

9.  Integration of Motor Learning Principles Into Real-Time Ambulatory Voice Biofeedback and Example Implementation Via a Clinical Case Study With Vocal Fold Nodules.

Authors:  Jarrad H Van Stan; Daryush D Mehta; Robert J Petit; Dagmar Sternad; Jason Muise; James A Burns; Robert E Hillman
Journal:  Am J Speech Lang Pathol       Date:  2017-02-01       Impact factor: 2.408

10.  Assessment of ambient noise levels in the intensive care unit of a university hospital.

Authors:  Hatem O Qutub; Khaled F El-Said
Journal:  J Family Community Med       Date:  2009-05
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  11 in total

1.  Ambulatory Voice Biofeedback: Acquisition and Retention of Modified Daily Voice Use in Patients With Phonotraumatic Vocal Hyperfunction.

Authors:  Jarrad H Van Stan; Andrew J Ortiz; Dagmar Sternad; Daryush D Mehta; Chuanbing Huo; Robert E Hillman
Journal:  Am J Speech Lang Pathol       Date:  2021-11-29       Impact factor: 4.018

2.  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

3.  Glottal Aerodynamics Estimated From Neck-Surface Vibration in Women With Phonotraumatic and Nonphonotraumatic Vocal Hyperfunction.

Authors:  Víctor M Espinoza; Daryush D Mehta; Jarrad H Van Stan; Robert E Hillman; Matías Zañartu
Journal:  J Speech Lang Hear Res       Date:  2020-08-05       Impact factor: 2.297

4.  Self-Ratings of Vocal Status in Daily Life: Reliability and Validity for Patients With Vocal Hyperfunction and a Normative Group.

Authors:  Jarrad H Van Stan; Marc Maffei; Maria Lúcia Vaz Masson; Daryush D Mehta; James A Burns; Robert E Hillman
Journal:  Am J Speech Lang Pathol       Date:  2017-11-08       Impact factor: 2.408

5.  Automated Relative Fundamental Frequency Algorithms for Use With Neck-Surface Accelerometer Signals.

Authors:  Matti D Groll; Jennifer M Vojtech; Surbhi Hablani; Daryush D Mehta; Daniel P Buckley; J Pieter Noordzij; Cara E Stepp
Journal:  J Voice       Date:  2020-07-09       Impact factor: 2.009

6.  A Nonrandomized Trial for Student Teachers of an In-Person and Telepractice Global Voice Prevention and Therapy Model With Estill Voice Training Assessed by the VoiceEvalU8 App.

Authors:  Elizabeth U Grillo
Journal:  Am J Speech Lang Pathol       Date:  2021-02-01       Impact factor: 2.408

7.  Scoping Review of Healthcare Literature on Mobile, Wearable, and Textile Sensing Technology for Continuous Monitoring.

Authors:  N Hernandez; L Castro; J Medina-Quero; J Favela; L Michan; W Ben Mortenson
Journal:  J Healthc Inform Res       Date:  2021-02-01

8.  Ambulatory Phonation Monitoring With Wireless Microphones Based on the Speech Energy Envelope: Algorithm Development and Validation.

Authors:  Chi-Te Wang; Ji-Yan Han; Shih-Hau Fang; Ying-Hui Lai
Journal:  JMIR Mhealth Uhealth       Date:  2020-12-03       Impact factor: 4.773

9.  Building a Successful Voice Telepractice Program.

Authors:  Elizabeth U Grillo
Journal:  Perspect ASHA Spec Interest Groups       Date:  2019-02

10.  Effect of an iOS App on Voice Therapy Adherence and Motivation.

Authors:  Eva van Leer; Brittney Lewis; Nick Porcaro
Journal:  Am J Speech Lang Pathol       Date:  2021-01-21       Impact factor: 2.408

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