Effective Approach for Detecting the Single Trial ERP Using Rational Gaussian Neural Network

Author

Shen, Minfen ; Zhang, Yuzheng ; Zhu, Yisheng ; Beadle, Patch

Author_Institution

Key Lab. of Guangdong, Shantou Univ., Guangdong

fYear

2006

Firstpage

33

Lastpage

36

Abstract

A novel approach is proposed to deal with the problem of detecting the single trial ERP using a modified RBF neural network, rational Gaussian network. The Gaussian RBF is normalized to obtain optimal behavior of noise suppression even at low SNR. The performance of the proposed scheme is also evaluated with both MSE and the tracking ability. Several experimental results with real ERP signals provide the convergent evidence to show that the presented method can significantly enhance the SNR and successfully track the variation of the signal such as the specified ERP in the applications of biomedical signal processing

Keywords

Gaussian processes; bioelectric potentials; electroencephalography; mean square error methods; medical signal detection; medical signal processing; noise; radial basis function networks; EEG; MSE; biomedical signal processing; mean square error; modified RBF neural network; noise suppression; rational Gaussian neural network; single trial ERP detection; tracking ability; Background noise; Biological neural networks; Biomedical engineering; Biomedical signal processing; Enterprise resource planning; Neural networks; Noise cancellation; Signal detection; Signal processing; Signal to noise ratio;

fLanguage

English

Publisher

ieee

Conference_Titel

Engineering in Medicine and Biology Society, 2005. IEEE-EMBS 2005. 27th Annual International Conference of the

Conference_Location

Shanghai

Print_ISBN

0-7803-8741-4

Type

conf

DOI

10.1109/IEMBS.2005.1616335

Filename

1616335