High-resolution analysis of transient evoked otoacoustic emissions.

High-resolution analysis of transient evoked otoacoustic emissions.
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瞬态诱发耳声发射的高分辨率分析。

DOI:
10.1109/iembs.2008.4649557
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发表时间:
2008
期刊:
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference
影响因子:
--
通讯作者:
Ziarani,AK
Ziarani,AK
中科院分区:
--
文献类型:
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作者:
McNamara,DM;Goli,A;Ziarani,AK

文献摘要

相似文献

提出了一种新的瞬态诱发耳声发射信号的分解和时频估计方法。TEOAE是响应于听觉刺激的低电平信号,用于监测耳蜗的功能。由于信号持续时间短(约20 ms)及其高度非平稳性,TEOAE参数估计具有挑战性。现有的时频分析方法无法对TEOAE信号中的成分进行准确的估计。所提出的分解和时频方法是基于非线性迭代正弦跟踪算法的非平稳正弦分量的有效跟踪。所提出的技术通过提供高的时间-频率分辨率来改进现有技术,并且能够提供TEOAE信号内的分量的准确估计。所提出的分解技术的结构以及底层算法。仿真结果显示所提出的技术的性能。它的性能也证明了临床记录的信号。
A new decomposition and time-frequency method applied to the estimation of transient evoked otoacoustic emissions (TEOAEs) is presented. TEOAEs are low-level signals in response to auditory stimuli that are used to monitor the functionality of the cochlea. TEOAE parameter estimation is challenging due to the short duration of the signal (about 20ms) and its highly nonstationary nature. Existing time-frequency methods are incapable of providing accurate estimates of the components within the TEOAE signal. The proposed decomposition and time-frequency method is based on the effective tracking of nonstationary sinusoidal components using a nonlinear iterative sinusoid tracking algorithm. The presented technique improves upon existing techniques by offering a high time-frequency resolution and is capable of providing accurate estimates of components within a TEOAE signal. The structure of the proposed decomposition technique as well as the underlying algorithm are presented. Simulation results are presented to show the performance of the proposed technique. Its performance is also demonstrated on a clinically recorded signal.