Abstract
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
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Wang, Z., Wan, H., Shi, L., Niu, X. (2011). Extraction of Visual-Evoked Potentials in Rat Primary Visual Cortex Based on Independent Component Analysis. In: Wu, Y. (eds) Computing and Intelligent Systems. ICCIC 2011. Communications in Computer and Information Science, vol 234. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-24091-1_39
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DOI: https://doi.org/10.1007/978-3-642-24091-1_39
Publisher Name: Springer, Berlin, Heidelberg
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