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2020 IEEE XXVII International Conference on Electronics, Electrical Engineering and Computing (INTERCON)
A brain-computer interface (BCI) aims to provide their users the capability to interact with machines only through their though processes. BCIs targeted at subjects with mild and severe motor impairments are of special interest since this kind of technology would improve their lifestyles. This paper focuses on the classification of the P300 waveform from single trials in EEG to be used in a BCI using deep belief networks. This deep learning algorithm has the capability to identify relevantdoi:10.1109/intercon50315.2020.9220255 fatcat:v2xi6mgsfbdknk2fuk4qlevdby