Literature DB >> 27232075

Comparing the Accuracy and Speed of Manual and Tracking Methods of Measuring Hearing Thresholds.

Gayla L Poling1, Theresa J Kunnel, Sumitrajit Dhar.   

Abstract

OBJECTIVES: The reliability of hearing thresholds obtained using the standard clinical method (modified Hughson-Westlake) has been the focus of previous investigation given the potential for tester bias (). In recent years, more precise methods in laboratory studies have been used that control for sources of bias, often at the expense of longer test times. The aim of this pilot study was to compare test-retest variability and time requirement to obtain a full set of hearing thresholds (0.125 - 20 kHz) of the clinical modified Hughson-Westlake (manual) method with that of the automated, modified (single frequency) Békésy tracking method ().
DESIGN: Hearing thresholds from 10 subjects (8 female) between 19 to 47 years old (mean = 28.3; SD = 9.4) were measured using two methods with identical test hardware and calibration. Thresholds were obtained using the modified Hughson-Westlake (manual) method and the Békésy method (tracking). Measurements using each method were repeated after one-week. Test-retest variability within each measurement method was computed across test sessions. Results from each test method as well as test time across methods were compared.
RESULTS: Test-retest variability was comparable and statistically indistinguishable between the two test methods. Thresholds were approximately 5 dB lower when measured using the tracking method. This difference was not statistically significant. The manual method of measuring thresholds was faster by approximately 4 minutes. Both methods required less time (~ 2 mins) in the second session as compared to the first.
CONCLUSION: Hearing thresholds obtained using the manual method can be just as reliable as those obtained using the tracking method over the large frequency range explored here (0.125 - 20 kHz). These results perhaps point to the importance of equivalent and valid calibration techniques that can overcome frequency dependent discrepancies, most prominent at higher frequencies, in the sound pressure delivered to the ear.

Entities:  

Mesh:

Year:  2016        PMID: 27232075      PMCID: PMC4996736          DOI: 10.1097/AUD.0000000000000317

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


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Authors:  Robert H Margolis; Richard H Wilson; Gerald R Popelka; Robert H Eikelboom; De Wet Swanepoel; George L Saly
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4.  Reliability of pure-tone thresholds at high frequencies.

Authors:  B Zhou; D M Green
Journal:  J Acoust Soc Am       Date:  1995-08       Impact factor: 1.840

5.  Comparison of nine methods to estimate ear-canal stimulus levels.

Authors:  Natalie N Souza; Sumitrajit Dhar; Stephen T Neely; Jonathan H Siegel
Journal:  J Acoust Soc Am       Date:  2014-10       Impact factor: 1.840

6.  Development and evaluation of a portable audiometer for high-frequency screening of hearing loss from ototoxicity in homes/clinics.

Authors:  Peter G Jacobs; Grayson Silaski; Debra Wilmington; Samuel Gordon; Wendy Helt; Garnett McMillan; Stephen A Fausti; Marilyn Dille
Journal:  IEEE Trans Biomed Eng       Date:  2012-07-11       Impact factor: 4.538

7.  Behavioral hearing thresholds between 0.125 and 20 kHz using depth-compensated ear simulator calibration.

Authors:  Jungmee Lee; Sumitrajit Dhar; Rebekah Abel; Renee Banakis; Evan Grolley; Jungwha Lee; Steven Zecker; Jonathan Siegel
Journal:  Ear Hear       Date:  2012 May-Jun       Impact factor: 3.570

8.  Microprocessor, self-recording and manual audiometry.

Authors:  D A Harris
Journal:  J Aud Res       Date:  1979-07

9.  A maximum-likelihood method for estimating thresholds in a yes-no task.

Authors:  D M Green
Journal:  J Acoust Soc Am       Date:  1993-04       Impact factor: 1.840

10.  Hearing loss prevalence in the United States.

Authors:  Frank R Lin; John K Niparko; Luigi Ferrucci
Journal:  Arch Intern Med       Date:  2011-11-14
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Authors:  Odile H Clavier; James A Norris; David W Hinckley; William Hal Martin; Shi Yuan Lee; Sigfrid D Soli; Douglas S Brungart; Jaclyn R Schurman; Erik Larsen; Golbarg Mehraei; Tera M Quigley
Journal:  J Acoust Soc Am       Date:  2022-07       Impact factor: 2.482

2.  The GoAudio Quantitative Mobile Audiology Test Enhances Access to Clinical Hearing Assessments.

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Review 3.  Digital Approaches to Automated and Machine Learning Assessments of Hearing: Scoping Review.

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Journal:  J Med Internet Res       Date:  2022-02-02       Impact factor: 5.428

4.  Genotype-phenotype Correlation Study in a Large Series of Patients Carrying the p.Pro51Ser (p.P51S) Variant in COCH (DFNA9): Part I-A Cross-sectional Study of Hearing Function in 111 Carriers.

Authors:  Sebastien P F JanssensdeVarebeke; Julie Moyaert; Erik Fransen; Britt Bulen; Celine Neesen; Katrien Devroye; Raymond van de Berg; Ronald J E Pennings; Vedat Topsakal; Olivier Vanderveken; Guy Van Camp; Vincent Van Rompaey
Journal:  Ear Hear       Date:  2021 Nov-Dec 01       Impact factor: 3.570

  4 in total

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