Neural networks preprocessing based adaptive latency change estimation of evoked potentials

  • Authors:

  • Yongmei Sun;Tianshuang Qiu;Wenhong Liu;Wenqiang Guo;Hui Li

  • Affiliations:

  • Department of Electronic and Information Engineering, Dalian University of Technology, Dalian, China;Department of Electronic and Information Engineering, Dalian University of Technology, Dalian, China;Department of Electronic and Information Engineering, Dalian University of Technology, Dalian, China;Department of Electronic and Information Engineering, Dalian University of Technology, Dalian, China;Department of Electronic Information, Dalian Jiaotong University, Dalian, China

  • Venue:
  • ISNN'05 Proceedings of the Second international conference on Advances in Neural Networks - Volume Part III
  • Year:
  • 2005

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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.