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Single-trial evoked potential estimation using wavelets
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DOI：10.1016/j.compbiomed.2006.08.011.png)
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In this paper we present conventional and tran slation-invariant (TI) wavelet-based approaches for single-trial evoked potential estimation based on intracortical recordings. We demonstrate that the wavelet-based approaches outperform several existing methods including the Wiener filter, least mean square (LMS), and recursive least squares (RLS), and that the TI wavelet-based estimates have higher SNR and lower RMSE than the conventional wavelet-based estimates. We also show that multichannel averaging significantly improves the evoked potential estimation, especially for the wavelet-based approaches. The excellent performances of the wavelet-based approaches for extracting evoked potentials are demonstrated via examples using simulated and experimental data. (c) 2006 Elsevier Ltd. All rights reserved.
Keyword:
wavelet
single-trial
evoked potential
local field potential (LFP)
multiunit activity (MUA)
translation-invariant
structure-from-motion (SFM)
LMS
RLS
Wiener
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8.3K
被引数:
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