Locally weighted least squares estimation of DPOAE evoked by continuously sweeping primaries.
- Author:
Xiaoli HAN
;
Xinxing FU
;
Jie CUI
;
Ling XIAO
- Publication Type:Journal Article
- MeSH:
Algorithms;
Hearing Loss;
diagnosis;
Humans;
Least-Squares Analysis;
Otoacoustic Emissions, Spontaneous;
Regression Analysis
- From:
Journal of Biomedical Engineering
2013;30(6):1153-1170
- CountryChina
- Language:Chinese
-
Abstract:
Distortion product otoacoustic emission (DPOAE) signal can be used for diagnosis of hearing loss so that it has an important clinical value. Continuously using sweeping primaries to measure DPOAE provides an efficient tool to record DPOAE data rapidly when DPOAE is measured in a large frequency range. In this paper, locally weighted least squares estimation (LWLSE) of 2f1-f2 DPOAE is presented based on least-squares-fit (LSF) algorithm, in which DPOAE is evoked by continuously sweeping tones. In our study, we used a weighted error function as the loss function and the weighting matrixes in the local sense to obtain a smaller estimated variance. Firstly, ordinary least squares estimation of the DPOAE parameters was obtained. Then the error vectors were grouped and the different local weighting matrixes were calculated in each group. And finally, the parameters of the DPOAE signal were estimated based on least squares estimation principle using the local weighting matrixes. The simulation results showed that the estimate variance and fluctuation errors were reduced, so the method estimates DPOAE and stimuli more accurately and stably, which facilitates extraction of clearer DPOAE fine structure.
