Abstract
Based on the nonlinear processing ability of neural networks, a new method of estimation of latency change in evoked potentials (EPs) is proposed in this paper. Neural networks are utilized as filters before DLMS algorithm in EP latency change estimation in order to suppressing impulsive background noises. The new latency change estimation method shows robust performance under non-Gaussian α-stable noise conditions.
This work is supported by National Science Foundation of China under Grants 30170259, 60372081, and the Science Foundation of Liaoning Province under Grant 2001101057.
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Sun, Y., Qiu, T., Liu, W., Guo, W., Li, H. (2005). Neural Networks Preprocessing Based Adaptive Latency Change Estimation of Evoked Potentials. In: Wang, J., Liao, XF., Yi, Z. (eds) Advances in Neural Networks – ISNN 2005. ISNN 2005. Lecture Notes in Computer Science, vol 3498. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11427469_117
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DOI: https://doi.org/10.1007/11427469_117
Publisher Name: Springer, Berlin, Heidelberg
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