Hearing screening based on deep residual shrinkage network
نویسندگان
چکیده
Abstract Stimulus-frequency otoacoustic emissions (SFOAEs) could be a useful tool for assessing hearing capabilities. Training and testing data were collected from 1084 ears of 725 subjects. Based on SFOAEs, this study applied Deep Residual Shrinkage Network to screen status. Results 10-fold cross-validation show that the model performed better than other recent literature in range 0.5 8 kHz, occupied larger area under receiver operating characteristic curve (0.970-0.991) had higher accuracy (0.932-0.959). The developed classified outperformed previous by improvements 1.28% 4.43% at 0.5, 2, 4 kHz.
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ژورنال
عنوان ژورنال: Journal of physics
سال: 2022
ISSN: ['0022-3700', '1747-3721', '0368-3508', '1747-3713']
DOI: https://doi.org/10.1088/1742-6596/2347/1/012006