NDLI: Single-Trial Extraction of Cognitive Evoked Potentials by Combination of Third-Order Correlation and Wavelet Denoising

Content Provider	IEEE Xplore Digital Library
Author	Zhang, Z.L. Tian, X.
Copyright Year	2005
Description	Author affiliation: Dept. of Biomed. Eng., Tianjin Med. Univ. (Zhang, Z.L.; Tian, X.)
Abstract	The application of a recently proposed denoising implementation for obtaining cognitive evoked potentials (CEPs) at the single-trial level is shown. The aim of this investigation is to develop the technique of extracting CEPs by combining both the third-order correlation and the wavelet denoising methods. First, the noisy CEPs was passed through a finite impulse response filter whose impulse response is matched with the shape of the noise-free signal. It was shown that it is possible to estimate the filter impulse response on basis of a select third-order correlation slice (TOCS) of the input noisy CEPs. Second, the output from the third-order correlation filter is decomposed with bi-orthogonal splines at 5 levels. The CEPs is reconstructed by wavelet final approximation $a_{5}.We$ study its performance in simulated data as well as in cognitive evoked potentials of normal rat and Alzheimer's disease (AD) model rat. For the simulated data, the method gives a significantly better reconstruction of the single-trial cognitive evoked potentials responses in comparison with the simulated data. Moreover, with this approach we obtain a significantly better estimation of the amplitudes and latencies of the simulated CEPs. For the real data, the method clearly improves the visualization of single-trial CEPs. This allows the calculation of better averages as well as the study of systematic or unsystematic variations between trials
Starting Page	2029
Ending Page	2032
File Size	316297
Page Count	4
File Format	PDF
ISBN	0780387414
DOI	10.1109/IEMBS.2005.1616855
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2006-01-17
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Noise reduction Finite impulse response filter Delay Noise shaping Visualization Filtering Additive noise Gaussian noise Biomedical engineering Shape third-order correlation cognitive evoked potentials single-trial Wavelet Denoising
Content Type	Text
Resource Type	Article

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