A new method for eliminating stimulus artifact in transient evoked otoacoustic emission using ICA

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Abstract

How to eliminate the stimulus artifact from the TEOAE measurement is a key question in TEOAE test. In this paper, a new method to eliminate stimulus artifact by ICA is proposed. First, four linear increasing stimulating sounds are used, and the waveforms recorded are the mix of TEOAEs and stimulus artifacts. Because stimulus artifact and TEOAE are independent statistically, and stimulus artifacts are line-increasing with stimulus while TEOAEs are nonlinear increasing with the trend to saturation gradually, their mix coefficients in mixed signals are different. The independent components and mix matrix can be estimated using ICA algorithm, and stimulus artifact is one of the independent components. Then we get rid of the artifact and remixed these independent components in order to separate stimulus artifacts from TEOAEs. Finally, compared with traditional DNLR algorithm, it is proved that the method we proposed is right and more effective. © Springer-Verlag 2004.

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Liu, J., Du, Y., Li, J., & Nie, K. (2004). A new method for eliminating stimulus artifact in transient evoked otoacoustic emission using ICA. Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 3195, 1041–1047. https://doi.org/10.1007/978-3-540-30110-3_131

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