Title :
Real time extraction of Visual Evoked Potentials
Author :
Li, Xiao-ou ; Zhang, Xiao-wei ; Feng, Huan-qing
Author_Institution :
Inst. of BME, Univ. of Sci. & Tech. of China, Hefei, China
Abstract :
On-line Information maximization (Infomax) algorithm for blind signal separation is based on single observation sample, it can track real time change of mixing system adaptively. To overcome the problem of misadjustment in steady state, we present an improved on-line Infomax algorithm with preprocessing rule of 2nd and 4th order statistical decorrelations, adaptive step size technique, and we apply them to real time extraction of Visual Evoked Potentials (VEP). The results of simulation and application experiment show that the proposed method improves the convergence performance and effect of blind signal separation. This algorithm can perform real time reinforcing and parameter extraction of VEP effectively on the premise of smaller vision stimuli.
Keywords :
adaptive estimation; blind source separation; decorrelation; optimisation; visual evoked potentials; adaptive step size technique; blind signal separation; convergence performance; infomax algorithm; observation sample; online information maximization algorithm; parameter extraction; preprocessing rule; real time reinforcing; smaller vision stimuli; statistical decorrelations; visual evoked potentials; Bioelectric phenomena; Brain modeling; Decorrelation; Electric potential; Electroencephalography; Entropy; Independent component analysis; Neural networks; Scalp; Steady-state;
Conference_Titel :
Neural Networks and Signal Processing, 2003. Proceedings of the 2003 International Conference on
Conference_Location :
Nanjing
Print_ISBN :
0-7803-7702-8
DOI :
10.1109/ICNNSP.2003.1281120