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Abstract

Nowadays, the technology advance has been allowed the development of new applications for brain computer interfaces (BCI), due to its ability of detect brain activities (motor, cognitive, sensory) from a user that can be used to control different movements or tasks of a device. This article has as objective, make an acquisition experiment of brain signals associates with the imagined movement to left or right, later these signals will be filtered to extract the features using the analysis of common spatial patterns (CSP) and the independent component analysis (ICA). Obtaining as a result, a comparison of features extracted by each analysis and determining which method has a better accuracy in the classification of two imagined movement tasks through support vector machines (SVM).