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Clinical comparison of two automated audiometry procedures.

作者信息

Liu Hui, Du Bingqing, Liu Bo, Fu Xinxing, Wang Yao

机构信息

Department of Otolaryngology, Head and Neck Surgery, Beijing Tongren Hospital, Capital Medical University, Beijing, China.

Beijing Institute of Otolaryngology, Beijing, China.

出版信息

Front Neurosci. 2022 Oct 11;16:1011016. doi: 10.3389/fnins.2022.1011016. eCollection 2022.


DOI:10.3389/fnins.2022.1011016
PMID:36303947
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC9595274/
Abstract

OBJECTIVE: Automated pure-tone audiometry has been shown to provide similar hearing threshold estimates to conventional audiometry, but lower correlations were reported at high and low frequencies in audiometric tests than those of manual tests, while the correlations were better in the middle frequencies. In this paper, we used the same equipment and different test procedures for automated testing, and compared the results with manual test results. DESIGN: One hundred subjects aged 18-36 years were randomly divided into two groups to perform air-conduction pure-tone audiometry (0.25, 0.5, 1, 2, 4, 8 kHz) using the ascending and shortened ascending protocols built-in to the automated audiometer, respectively. Recorded testing time, the total number of responses and the subject's preference tests were compared with those of manual tests. RESULTS: Significant difference was found at 250 Hz regarding the distribution of the absolute difference between the two automated and the manual thresholds. The testing time spend in the ascending method (9.8 ± 1.4 min, mean ± SD) was significantly longer than in the shorted ascending method (5.8 ± 0.9 min). The total numbers of responses of the ascending method (90.5 ± 10.8 times) and shorted ascending method (62.0 ± 11.4 times) were significantly different. Finally, no significant difference was found in preferences between automated and manual procedures. CONCLUSION: The shorted ascending method can save lots of testing time. The difference between the two automated thresholds at 250 Hz is caused by the different test procedures, and the difference at 8,000 Hz between the automated test and the manual test can be due to the transducer types and allowable differences in calibration.

摘要
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/75da/9595274/8363fc70f1c8/fnins-16-1011016-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/75da/9595274/8363fc70f1c8/fnins-16-1011016-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/75da/9595274/8363fc70f1c8/fnins-16-1011016-g001.jpg

相似文献

[1]
Clinical comparison of two automated audiometry procedures.

Front Neurosci. 2022-10-11

[2]
Comparisons of air-conduction hearing thresholds between manual and automated methods in a commercial audiometer.

Front Neurosci. 2023-12-21

[3]
Diagnostic Hearing Assessment in Schools: Validity and Time Efficiency of Automated Audiometry.

J Am Acad Audiol. 2016-1

[4]
Hearing assessment-reliability, accuracy, and efficiency of automated audiometry.

Telemed J E Health. 2010-6

[5]
Otitis media with effusion in children: Cross-frequency correlation in pure tone audiometry.

PLoS One. 2019-8-22

[6]
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Int J Audiol. 2013-4-3

[7]
Clinical validation of automated audiometry with continuous noise-monitoring in a clinically heterogeneous population outside a sound-treated environment.

Int J Audiol. 2016-9

[8]
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Am J Audiol. 2022-3-3

[9]
Using a combination of click- and tone burst-evoked auditory brain stem response measurements to estimate pure-tone thresholds.

Ear Hear. 2006-2

[10]
Pure-Tone Audiometry With Forward Pressure Level Calibration Leads to Clinically-Relevant Improvements in Test-Retest Reliability.

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引用本文的文献

[1]
Comparisons of air-conduction hearing thresholds between manual and automated methods in a commercial audiometer.

Front Neurosci. 2023-12-21

[2]
Ambient Noise in Candidate Rooms for User-Operated Audiometry.

Healthcare (Basel). 2023-3-20

本文引用的文献

[1]
Digital Approaches to Automated and Machine Learning Assessments of Hearing: Scoping Review.

J Med Internet Res. 2022-2-2

[2]
User-Operated Audiometry Project (UAud) - Introducing an Automated User-Operated System for Audiometric Testing Into Everyday Clinic Practice.

Front Digit Health. 2021-10-7

[3]
The world report on hearing, 2021.

Bull World Health Organ. 2021-4-1

[4]
Accuracy and Reliability of Smartphone Self-Test Audiometry in Community Clinics in Low Income Settings: A Comparative Study.

Ann Otol Rhinol Laryngol. 2020-6

[5]
Reliability of Tablet-based Hearing Testing in Nicaraguan Schoolchildren: A Detailed Analysis.

Otol Neurotol. 2020-3

[6]
Mobile applications to detect hearing impairment: opportunities and challenges.

Bull World Health Organ. 2019-10-1

[7]
Hearing and vision screening for preschool children using mobile technology, South Africa.

Bull World Health Organ. 2019-6-19

[8]
Online Machine Learning Audiometry.

Ear Hear. 2019

[9]
The accuracy and reliability of an app-based audiometer using consumer headphones: pure tone audiometry in a normal hearing group.

Int J Audiol. 2017-9

[10]
Clinical validation of automated audiometry with continuous noise-monitoring in a clinically heterogeneous population outside a sound-treated environment.

Int J Audiol. 2016-9

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