首页> 外文会议>Engineering in Medicine and Biology Society, 1998. Proceedings of the 20th Annual International Conference of the IEEE >Otoacoustic emissions and improved pass/fail separation using wavelet based denoising
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Otoacoustic emissions and improved pass/fail separation using wavelet based denoising

机译:使用基于小波的降噪技术,进行耳声发射并改善通过/失败的分离

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A new technique is presented for the purpose of improving the pass/fail separation during a transient evoked otoacoustic emission screening procedure. The technique combines signal decomposition in octave bands using the wavelet transform with denoising, separate reconstruction of components representing octave bands and time windowing. The cross-correlation coefficient between processed TEOAE signals was used as a pass/fail criterion and assessed in relation to the mean hearing threshold. The performance is presented in terms of receiver operating characteristics for a database of 5214 individuals. The results show that the specificity improves by 12% in comparison with conventional TEOAE analysis when the sensitivity is held constant at 90%.
机译:提出了一种新技术,目的是在瞬态诱发的耳声发射筛选过程中改善通过/不通过分离。该技术结合了使用小波变换的八度频带中的信号分解和去噪,代表八度频带的分量的单独重建以及时间窗。经过处理的TEOAE信号之间的互相关系数用作通过/失败标准,并相对于平均听力阈值进行评估。该性能是根据5214个人数据库的接收器操作特性来表示的。结果表明,当灵敏度保持恒定在90%时,与常规TEOAE分析相比,特异性提高了12%。

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