Abstract
In this paper a method based on wavelet denoising (WD) is presented to estimate event related potentials (ERPs). Firstly, the empirical mode decomposition (EMD) is used to decompose the noisy signals and the intrinsic mode functions (IMFs) are produced; secondly, the IMFs are filtered by WD method with improved semi-soft threshold function and the new IMFs are selected according to the energy distribution; lastly, the ERPs are reconstructed from the selected IMFs. Computer simulation results and the experimental results demonstrate the effectiveness of the WD-based approach in ERPs estimation, which keeps the main waveform characteristics.
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References
Zou, L., Zhou, R.L., Hu, S.Q.: Single Trial Evoked Potentials Study during an Emotional Processing Based on Wavelet Transform. In: Sun, F., Zhang, J., Tan, Y., Cao, J., Yu, W. (eds.) ISNN 2008, Part I. LNCS, vol. 5263, pp. 1–10. Springer, Heidelberg (2008)
Zou, L., Ma, Z.H., Chen, S.Y.: Single Trial Evoked Potentials Estimation by Using Wavelet Enhanced Principal Component Analysis Method. In: Yu, W., He, H., Zhang, N. (eds.) ISNN 2009. LNCS, vol. 5553, pp. 638–647. Springer, Heidelberg (2009)
Palaniappan, R., Ravi, K.V.R.: Improving visual evoked potential feature classification for person recognition using PCA and normalization. Pattern Recognition Letters 27, 726–733 (2006)
Lemm, S., Curio, G., Hlushchuk, Y.: Enhancing the Signal-to-Noise Ratio of ICA-Based Extracted ERPs. IEEE Trans. Biomed. Eng. 53(4), 601–607 (2006)
Huang, N.E., Shen, Z., Long, S.R.: The Empirical Mode Decomposition and Hilbert Spectrum for Nonlinear and Nonstationary Time Series Analysis. Proc. R. Soc. London Ser. A 454, 903–995 (1998)
Liang, H.L., Bressler, S.L., Desimone, R., Fries, P.: Empirical mode decomposition: a method for analyzing neural data. Neurocomputing 65-66, 801–807 (2005)
Flandrin, P., Rilling, G., Goncalves, P.: Empirical mode decomposition as a filter bank. IEEE Signal Processing Letters 11, 112–114 (2004)
Zhang, X.P., Desai, M.: Adaptive de-noising based on SURE risk. IEEE Signal Processing Letters 5(10), 265–367 (1998)
Masahiko, N.: Waveform Estimation from Noisy Signals with Variable Signal Delay Using Bispectrum Averaging. IEEE Trans. Biomed. Eng. 40(2), 118–127 (1993)
Xu, H.D., Chen, J., Wen, H.: The study of event-related evoked potential P300 in chronic alcoholics. Shanghai Archives of Psychiatry 15(3), 140–142 (2005)
Swartz Center for Computational Neuroscience, http://sccn.ucsd.edu/eeglab
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Zou, L., Tao, C., Zhang, X., Zhou, R. (2010). Estimation of Event Related Potentials Using Wavelet Denoising Based Method. In: Zhang, L., Lu, BL., Kwok, J. (eds) Advances in Neural Networks - ISNN 2010. ISNN 2010. Lecture Notes in Computer Science, vol 6064. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-13318-3_50
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DOI: https://doi.org/10.1007/978-3-642-13318-3_50
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-13317-6
Online ISBN: 978-3-642-13318-3
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