Literature DB >> 31408045

Quantifying the Range of Signal Modification in Clinically Fit Hearing Aids.

Varsha Rallapalli1, Melinda Anderson2, James Kates3, Lauren Balmert4, Lynn Sirow5, Kathryn Arehart3, Pamela Souza1,6.   

Abstract

OBJECTIVES: Hearing aids provide various signal processing techniques with a range of parameters to improve the listening experience for a hearing-impaired individual. In previous studies, we reported significant differences in signal modification for mild versus strong signal processing in commercially available hearing aids. In this study, the authors extend this work to clinically prescribed hearing aid fittings based on best-practice guidelines. The goals of this project are to determine the range of cumulative signal modification in clinically fit hearing aids across manufacturers and technology levels and the effects of listening conditions including signal to noise ratio (SNR) and presentation level on these signal modifications.
DESIGN: We identified a subset of hearing aids that were representative of a typical clinical setting. Deidentified hearing aid fitting data were obtained from three audiology clinics for adult hearing aid users with sensorineural hearing loss for a range of hearing sensitivities. Matching laboratory hearing aids were programmed with the deidentified fitting data. Output from these hearing aids was recorded at four SNRs and three presentation levels. The resulting signal modification was quantified using the cepstral correlation component of the Hearing Aid Speech Quality Index which measures the speech envelope changes in the context of a model of the listener's hearing loss. These metric values represent the hearing aid processed signal as it is heard by the hearing aid user. Audiometric information was used to determine the nature of any possible association with the distribution of signal modification in these clinically fit hearing aids.
RESULTS: In general, signal modification increased as SNR decreased and presentation level increased. Differences across manufacturers were significant such that the effect of presentation level varied differently at each SNR, for each manufacturer. This result suggests that there may be variations across manufacturers in processing various listening conditions. There was no significant effect of technology level. There was a small effect of pure-tone average on signal modification for one manufacturer, but no effect of audiogram slope. Finally, there was a broad range of measured signal modification for a given hearing loss, for the same manufacturer and listening condition.
CONCLUSIONS: The signal modification values in this study are representative of commonly fit hearing aids in clinics today. The results of this study provide insights into how the range of signal modifications obtained in real clinical fittings compares with a previous study. Future studies will focus on the behavioral implications of signal modifications in clinically fit hearing aids.

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Mesh:

Year:  2020        PMID: 31408045      PMCID: PMC7007831          DOI: 10.1097/AUD.0000000000000767

Source DB:  PubMed          Journal:  Ear Hear        ISSN: 0196-0202            Impact factor:   3.570


  35 in total

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Authors:  S Rosen
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  1992-06-29       Impact factor: 6.237

2.  Statistically derived factors of varied importance to audiologists when making a hearing aid brand preference decision.

Authors:  Earl E Johnson; H Gustav Mueller; Todd A Ricketts
Journal:  J Am Acad Audiol       Date:  2009-01       Impact factor: 1.664

3.  Effects of fast, slow, and adaptive amplitude compression on children's and adults' perception of meaningful acoustic information.

Authors:  Andrea L Pittman; Ashley J Pederson; Madalyn A Rash
Journal:  J Am Acad Audiol       Date:  2014-10       Impact factor: 1.664

4.  Development of the Hearing in Noise Test for the measurement of speech reception thresholds in quiet and in noise.

Authors:  M Nilsson; S D Soli; J A Sullivan
Journal:  J Acoust Soc Am       Date:  1994-02       Impact factor: 1.840

5.  Impact of Hearing Aid Technology on Outcomes in Daily Life II: Speech Understanding and Listening Effort.

Authors:  Jani A Johnson; Jingjing Xu; Robyn M Cox
Journal:  Ear Hear       Date:  2016 Sep-Oct       Impact factor: 3.570

6.  Relationship Among Signal Fidelity, Hearing Loss, and Working Memory for Digital Noise Suppression.

Authors:  Kathryn Arehart; Pamela Souza; James Kates; Thomas Lunner; Michael Syskind Pedersen
Journal:  Ear Hear       Date:  2015 Sep-Oct       Impact factor: 3.570

7.  Understanding Variability in Individual Response to Hearing Aid Signal Processing in Wearable Hearing Aids.

Authors:  Pamela Souza; Kathryn Arehart; Tim Schoof; Melinda Anderson; Dorina Strori; Lauren Balmert
Journal:  Ear Hear       Date:  2019 Nov/Dec       Impact factor: 3.570

8.  Using Objective Metrics to Measure Hearing Aid Performance.

Authors:  James M Kates; Kathryn H Arehart; Melinda C Anderson; Ramesh Kumar Muralimanohar; Lewis O Harvey
Journal:  Ear Hear       Date:  2018 Nov/Dec       Impact factor: 3.570

9.  Effects of audibility and multichannel wide dynamic range compression on consonant recognition for listeners with severe hearing loss.

Authors:  Evelyn Davies-Venn; Pamela Souza; Marc Brennan; G Christopher Stecker
Journal:  Ear Hear       Date:  2009-10       Impact factor: 3.570

10.  Decision-Making in Audiology: Balancing Evidence-Based Practice and Patient-Centered Care.

Authors:  Isabelle Boisvert; Jennifer Clemesha; Erik Lundmark; Erica Crome; Caitlin Barr; Catherine M McMahon
Journal:  Trends Hear       Date:  2017 Jan-Dec       Impact factor: 3.293

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  2 in total

1.  Open Speech Platform: Democratizing Hearing Aid Research.

Authors:  Dhiman Sengupta; Arthur Boothroyd; Tamara Zubatiy; Cagri Yalcin; Dezhi Hong; Sean K Hamilton; Rajesh Gupta; Harinath Garudadri
Journal:  Int Conf Pervasive Comput Technol Healthc       Date:  2020-05

2.  Speech Discrimination in Infancy Predicts Language Outcomes at 30 Months for Both Children with Normal Hearing and Those with Hearing Differences.

Authors:  Kristin M Uhler; Sean R Anderson; Christine Yoshinaga-Itano; Kerry A Walker; Sharon Hunter
Journal:  J Clin Med       Date:  2022-09-30       Impact factor: 4.964

  2 in total

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