Advertisement
Published in:
2011 | OriginalPaper | Chapter
Extraction of Visual-Evoked Potentials in Rat Primary Visual Cortex Based on Independent Component Analysis
Authors : Zhizhong Wang, Hong Wan, Li Shi, Xiaoke Niu
Published in: Computing and Intelligent Systems
Publisher: Springer Berlin Heidelberg
Activate our intelligent search to find suitable subject content or patents.
Select sections of text to find matching patents with Artificial Intelligence. powered by
Select sections of text to find additional relevant content using AI-assisted search. powered by
The visual-evoked potentials(VEPs) is very important and meaningful to study the brain function and the information processing mechanism of visual systems. In the paper first the characteristics of electromyography (EMG), electro-oculogram (EOG), electroencephalogram (EEG) and VEPs in rats were obtained respectively in time and frequency domain. Then a novel abstracting algorithm based on independent component analysis (ICA) was proposed and applied to extract the VEPs from the mixed above under different colors’ stimulation. The correlation coefficient between the extracted and original signals is 0.9944. The experiments demonstrated this new method could extract VEPs correctly and efficiently