Adquisición y análisis de señales cerebrales utilizando el dispositivo MindWave

Abstract

Brain activity can be monitored through electroencephalography and used as a bioelectric indicator. This paper shows how a low cost device can be used in developing brain-computer interface based applications. The obtained results show that the MindWave device can be used for EEG signal acquisition, and that the Wavelet transform can be employed to improve the signal representation in order to apply artificial intelligence algorithms and pattern recognition techniques to classify brain responses.