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在自动纯音测听中使用真无线立体声耳机。

Utilizing True Wireless Stereo Earbuds in Automated Pure-Tone Audiometry.

机构信息

School of Architecture, 26467South China University of Technology, Guangzhou, China.

School of Physics and Optoelectronics, 26467South China University of Technology, Guangzhou, China.

出版信息

Trends Hear. 2021 Jan-Dec;25:23312165211057367. doi: 10.1177/23312165211057367.

DOI:10.1177/23312165211057367
PMID:34796771
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC8606721/
Abstract

True wireless stereo (TWS) earbuds have become popular and widespread in recent years, and numerous automated pure-tone audiometer applications have been developed for portable devices. However, most of these applications require specifically designed earphones to which the public may not have access. Therefore, the present study investigates the accuracy of automated pure-tone audiometry based on TWS earbuds (Honor FlyPods). The procedure for developing an automated pure-tone audiometer is reported. Calibration of the TWS earbuds was accomplished by electroacoustic measurements and establishing corrected reference equivalent threshold sound pressure levels. The developed audiometer was then compared with a clinical audiometer using 20 hearing-impaired participants. The average signed and absolute deviations between hearing thresholds measured using the two audiometers were 3.1 dB and 6.7 dB, respectively. The overall accuracy rate in determining the presence/absence of hearing loss was 81%. The results show that the proposed procedure for an automated air-conduction audiometer based on TWS earbuds is feasible, and the system gives accurate hearing level estimation using the reported calibration framework.

摘要

真正的无线立体声 (TWS) 耳机近年来变得流行和普及,并且已经为便携式设备开发了许多自动纯音听力计应用程序。然而,这些应用程序大多数都需要专门设计的耳机,而公众可能无法使用这些耳机。因此,本研究调查了基于 TWS 耳机 (荣耀 FlyPods) 的自动纯音听力计的准确性。报告了开发自动纯音听力计的过程。通过电声测量和建立校正参考等效阈声压级来完成 TWS 耳机的校准。然后使用 20 名听力受损参与者将开发的听力计与临床听力计进行比较。两种听力计测量的听力阈值的平均符号和绝对偏差分别为 3.1dB 和 6.7dB。确定听力损失存在/不存在的总体准确率为 81%。结果表明,基于 TWS 耳机的自动气导听力计的提出的程序是可行的,并且该系统使用报告的校准框架给出了准确的听力水平估计。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/92db/8606721/cf64745b6863/10.1177_23312165211057367-fig6.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/92db/8606721/2ca638884bd0/10.1177_23312165211057367-fig1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/92db/8606721/e9ef4d33d709/10.1177_23312165211057367-fig2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/92db/8606721/b8c91cf25f47/10.1177_23312165211057367-fig3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/92db/8606721/a11b9d1650c5/10.1177_23312165211057367-fig4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/92db/8606721/f6344217720b/10.1177_23312165211057367-fig5.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/92db/8606721/cf64745b6863/10.1177_23312165211057367-fig6.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/92db/8606721/2ca638884bd0/10.1177_23312165211057367-fig1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/92db/8606721/e9ef4d33d709/10.1177_23312165211057367-fig2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/92db/8606721/b8c91cf25f47/10.1177_23312165211057367-fig3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/92db/8606721/a11b9d1650c5/10.1177_23312165211057367-fig4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/92db/8606721/f6344217720b/10.1177_23312165211057367-fig5.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/92db/8606721/cf64745b6863/10.1177_23312165211057367-fig6.jpg

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Newborn hearing screening protocols and their outcomes: A systematic review.新生儿听力筛查方案及其结果:系统评价。
Int J Pediatr Otorhinolaryngol. 2018 Dec;115:104-109. doi: 10.1016/j.ijporl.2018.09.026. Epub 2018 Sep 25.
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Online Machine Learning Audiometry.在线机器学习测听
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Age, Hearing, and the Perceptual Learning of Rapid Speech.年龄、听力与快速言语知觉学习。
Trends Hear. 2018 Jan-Dec;22:2331216518778651. doi: 10.1177/2331216518778651.
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A Cross-Sectional Study on the Hearing Threshold Levels Among People in Qinling, Qinghai, and Nanjing, China.中国秦岭、青海和南京地区人群听力阈值水平的横断面研究。
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