A PHP Error was encountered

Severity: Warning

Message: file_get_contents(https://...@pubfacts.com&api_key=b8daa3ad693db53b1410957c26c9a51b4908&a=1): Failed to open stream: HTTP request failed! HTTP/1.1 429 Too Many Requests

Filename: helpers/my_audit_helper.php

Line Number: 197

Backtrace:

File: /var/www/html/application/helpers/my_audit_helper.php
Line: 197
Function: file_get_contents

File: /var/www/html/application/helpers/my_audit_helper.php
Line: 271
Function: simplexml_load_file_from_url

File: /var/www/html/application/helpers/my_audit_helper.php
Line: 1057
Function: getPubMedXML

File: /var/www/html/application/helpers/my_audit_helper.php
Line: 3175
Function: GetPubMedArticleOutput_2016

File: /var/www/html/application/controllers/Detail.php
Line: 575
Function: pubMedSearch_Global

File: /var/www/html/application/controllers/Detail.php
Line: 489
Function: pubMedGetRelatedKeyword

File: /var/www/html/index.php
Line: 316
Function: require_once

Accuracy and time efficiency of an automated commercial audiometer in the evaluation of hearing in quiet and noisy environments. | LitMetric

Introduction: In this study, we sought to validate the effectiveness of an automated audiometry system in quiet (AA) and noisy environments (AA-N) by comparing the air pure-tone thresholds obtained by AA to those obtained by traditional manual audiometry (MA).

Methods: In this cross-sectional study, 150 participants with or without hearing loss were tested (age: 11-84 years; female: 57.3%). Air conduction thresholds were assessed by MA, AA, and AA-N in a quiet or noisy sound booth.

Results: In participants without hearing loss, 94.5% and 96% of the threshold comparisons differed between MA versus AA and AA versus AA-N within 10 dB HL or less. In participants with hearing loss, there was no statistically significant difference between the three testing conditions at any frequency ( > 0.05). The hearing threshold difference in the poor hearing ear in participants with a bilateral difference ≥40 dB HL was -15 and +15 dB HL; however, this difference was not statistically significant when excluding participants with tinnitus.

Conclusions: Automatic audiometry can accurately estimate hearing thresholds and screen for hearing loss even in noisy environments. Nevertheless, the algorithm must be corrected when patients experience tinnitus.

Download full-text PDF

Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC11863217PMC
http://dx.doi.org/10.1177/00368504251324348DOI Listing

Publication Analysis

Top Keywords

hearing loss
16
quiet noisy
12
noisy environments
12
participants hearing
12
hearing
8
participants
5
accuracy time
4
time efficiency
4
efficiency automated
4
automated commercial
4

Similar Publications

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!