{"title":"TEOAE-based estimation of the auditory threshold in the mid-octave frequencies.","authors":"S Hatzopoulos, A Martini, S D Stephens","doi":"10.3109/03005364000000109","DOIUrl":null,"url":null,"abstract":"<p><p>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.</p>","PeriodicalId":75616,"journal":{"name":"British journal of audiology","volume":"33 6","pages":"415-22"},"PeriodicalIF":0.0000,"publicationDate":"1999-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.3109/03005364000000109","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"British journal of audiology","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.3109/03005364000000109","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1
Abstract
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相应的瞬态诱发耳声发射(TEOAE)记录分为三个阈值组,估计233耳感音神经性听力损失患者的中频听力水平。分类算法基于快速傅里叶变换(FFT)数据的判别分析,该数据由80 (+/-2)dB / SPL的非线性点击刺激引起。为了验证所提出方法的有效性,根据两种策略方案,将TEOAE记录根据1 kHz和2 kHz的平均听力水平值分为三个阈值范围:第一,将TEOAE数据分为10-19 dB HL, 20-39 dB HL或>或= 40 dB HL组。将TEOAE数据分为10-29 > dB H >、30-39 dB HL和>或= 40 dB HL组。从第二种策略方案中获得了最准确的预测估计,10-29 dB HL组的准确率为90.9%,30-39 dB HL组的准确率为82%,>或= 40 dB HL组的准确率为71.4%。