Hatzopoulos S, Martini A, Stephens S D
Center of Bioacoustics, University of Ferrara, Italy.
Br J Audiol. 1999 Dec;33(6):415-22. doi: 10.3109/03005364000000109.
The purpose of this study was to estimate the hearing levels, at the mid-frequencies, of 233 ears with sensorineural hearing loss by classifying the corresponding transiently evoked otoacoustic emissions (TEOAE) recordings into three threshold groups. A classification algorithm was based upon a discriminant analysis of fast Fourier transform (FFT) data, evoked by non-linear click stimuli of 80 (+/-2) dB SPL per ear. To validate the efficiency of the proposed methodology TEOAE recordings were initially grouped by mean hearing level values of the 1 kHz and 2 kHz octaves into three threshold ranges according to two strategy schemes: in the first, TEOAE data were assigned into 10-19 dB HL, 20-39 dB HL or > or = 40 dB HL groups. In the second, TEOAE data were assigned into 10-29 > dB H >, 30-39 dB HL or > or = 40 dB HL groups. The most accurate prediction estimates were obtained from the second strategy scheme with a 90.9% accuracy in the 10-29 dB HL group, 82% in the 30-39 dB HL group and 71.4% in the > or = 40 dB HL group.
本研究的目的是通过将233例感音神经性听力损失患者相应的瞬态诱发耳声发射（TEOAE）记录分为三个阈值组，来估计中频听力水平。分类算法基于对每只耳朵80（±2）dB SPL的非线性短声刺激诱发的快速傅里叶变换（FFT）数据的判别分析。为了验证所提出方法的有效性，根据两种策略方案，首先将TEOAE记录按1kHz和2kHz倍频程的平均听力水平值分组为三个阈值范围：第一种方案中，TEOAE数据被分为10 - 19dB HL、20 - 39dB HL或≥40dB HL组。第二种方案中，TEOAE数据被分为10 - 29dB HL、30 - 39dB HL或≥40dB HL组。从第二种策略方案中获得了最准确的预测估计，在10 - 29dB HL组中的准确率为90.9%，在30 - 39dB HL组中为82%，在≥40dB HL组中为71.4%。
