会议专题

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

2010 International Conference on Bio-inspried System and Signal Processing(2010 IEEE生物系统与信号处理国际会议 ICBSSP 2010)

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)