Extraction of Visual-evoked Potentials in Rat Primary Visual Cortex Based on Independent Component Analysis
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
Visual-evoked Potentials Rat Primary Visual Cortex Independent Component Analysis
Zhizhong Wang Li Shi Hong Wan Xiaoke Niu
School of Electric Engineering Zhengzhou University Zhengzhou, China
国际会议
厦门
英文
39-42
2010-10-26(万方平台首次上网日期,不代表论文的发表时间)