Further Research about Fast Extraction Method of Auditory Brainstem Response

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Abstract:

There are the similarities and the differences between wavelet transformation and traditional superposing and averaging method are discussed in de-noising ABR signal. Actually, it is easy to see that the advantage of wavelet transform, but it’s unbelievable to other people. In this paper, by spectral analysis, a quantity measurement estimate is given. So we can conclude that wavelet transform has better result than traditional superposing and averaging for noise removal.

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Periodical:

Advanced Materials Research (Volumes 217-218)

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758-762

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March 2011

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© 2011 Trans Tech Publications Ltd. All Rights Reserved

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[1] Jewett D.L. Human auditory evoked potentials: possible brain stem components detected on the scalp. Science. 1970, 167: 1517.

DOI: 10.1126/science.167.3924.1517

Google Scholar

[2] Gao Shangkai: Issues in Study of Auditory Evoked Potentials, Medical Equipment, 1988, 4: 40-47.

Google Scholar

[3] Ying Sun, Zhaoxue Chen. Fast Extraction Method of Auditory Brainstem Response Based on Wavelet Transformation. IEEE ICWAPR 2007. 2007, 1862: 1864.

DOI: 10.1109/icwapr.2007.4421758

Google Scholar

[4] S Nanavati and P Panigrahi, Wavelet transform: A new mathematical microscope, Resonance, 2004, 50-64.

DOI: 10.1007/bf02834988

Google Scholar

[5] Chen YH, Su JM, Fu HC, Huang HC, Pao HT (2005) Adaptive watermarking using relationships between wavelet coefficients. IEEE Int Symp Circuits Syst 5: 4979–4982.

DOI: 10.1109/iscas.2005.1465751

Google Scholar

[6] Khelifi F, Bouridane A, Kurugollu F, Thompson AI (2005) An improvewavelet-based image watermarking technique. In: IEEE Conference on Advanced Video and Signal Based Surveillance, IEEE Computer Society Press, Los Alamitos, p.588–592.

DOI: 10.1109/avss.2005.1577334

Google Scholar

[7] Li Hongmin, He Yigang, Yichuang Sun: Detection of Cardiac Signal Characteristic Point Using Log-Domain Wavelet Transform Circuits, Circuits Syst Signal Process, 2008, 27: 683-698.

DOI: 10.1007/s00034-008-9052-9

Google Scholar