Detection of transient evoked otoacoustic emissions by adaptive signal enhancement  

作　　者：YE Wanxing YE Datian CAO Yu(Biomedical Engineering Institute, Dept. of Electrical Engineering, Tsinghua University Beijing 100084) 

出　　处：《Chinese Journal of Acoustics》2003年第4期302-313,共12页声学学报（英文版）

基　　金：This work was supported by the National Natural Science Foundation of China (No.39870212)

摘　　要：Otoacoustic emissions (OAEs) has been considered as an excellent objective tool in clinics for diagnosing hearing loss. The signal-to-noise ratio (SNR) and correlation coefficient of OAEs are very important for the purpose of diagnosis. An adaptive signal enhancer (ASE) based on the Least Mean Square (LMS) algorithm is presented to detect transient evoked OAEs (TEOAEs). The TEOAEs detection results from 106 ears show that ASE reaches better estimation of TEOAEs than a conventional ensemble averaging (EA) technique. With the ASE, the improvement of SNR was increased faster than that with the EA and the number of sweeps required can be markedly reduced. The detection time with ASE could be shortened by about 50% in comparison with that of EA.Otoacoustic emissions (OAEs) has been considered as an excellent objective tool in clinics for diagnosing hearing loss. The signal-to-noise ratio (SNR) and correlation coefficient of OAEs are very important for the purpose of diagnosis. An adaptive signal enhancer (ASE) based on the Least Mean Square (LMS) algorithm is presented to detect transient evoked OAEs (TEOAEs). The TEOAEs detection results from 106 ears show that ASE reaches better estimation of TEOAEs than a conventional ensemble averaging (EA) technique. With the ASE, the improvement of SNR was increased faster than that with the EA and the number of sweeps required can be markedly reduced. The detection time with ASE could be shortened by about 50% in comparison with that of EA.

关 键 词：of in ASE Detection of transient evoked otoacoustic emissions by adaptive signal enhancement by IS that 

分 类 号：R764[医药卫生—耳鼻咽喉科]