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Objective Assessment System for Hearing Prediction Based on Stimulus-Frequency Otoacoustic Emissions
Qin Gong1,2, Yin Liu1, Runyi Xu1
1Department of Biomedical Engineering, 12442Tsinghua University, Beijing, China.
This study developed an objective system using stimulus-frequency otoacoustic emissions (SFOAEs) to assess hearing. The system shows promise for predicting hearing thresholds and screening for hearing loss.
Area of Science:
- Audiology
- Otoacoustic Emissions
- Hearing Science
Background:
- Stimulus-frequency otoacoustic emissions (SFOAEs) offer a noninvasive method for evaluating cochlear function.
- Limited research exists on the predictive value of SFOAEs for hearing capabilities.
Purpose of the Study:
- To develop and validate an objective assessment system based on SFOAEs for predicting hearing thresholds and identifying hearing loss.
- To evaluate the performance of routine and fast testing modules for threshold prediction and a screening module for hearing status identification.
Main Methods:
- Trained predictive models using SFOAE data from 245 normal-hearing ears and 839 ears with sensorineural hearing loss.
- Developed three modules: routine test, fast test (for threshold prediction), and hearing screening.
- Validated model performance using cross-validation and independent unknown datasets.
Main Results:
- Routine and fast test modules demonstrated similar performance in predicting hearing thresholds from 0.5 to 8 kHz (mean absolute errors: 7.06-11.61 dB and 7.40-12.60 dB, respectively).
- The fast module offered reduced testing time compared to the routine module.
- The hearing screening module achieved high accuracy (88.4-95.9%) and a low false-negative rate (2.9-7.0%) across 0.5-8 kHz, with a large area under the ROC curve (0.912-0.985).
Conclusions:
- The developed SFOAE-based system shows potential for objective hearing assessment.
- The routine and fast modules are viable for hearing threshold prediction, though improvement is needed for ears with hearing loss.
- The hearing screening module demonstrates significant promise as a clinical tool for identifying hearing loss.
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