Temporal-spatial-frequency depth extraction of brain-computer interface based on mental tasks

With the help of brain-computer interface (BCI) systems, the electroencephalography (EEG) signals can be translated into control commands. It is rare to extract temporal-spatial-frequency features of the EEG signals at the same time by conventional deep neural networks. In this study, two types of series and parallel structures are proposed by combining convolutional neural network (CNN) and long short term memory (LSTM). The frequency and...