Combined Spatial Filtering and Time-Frequency Analysis in Motor Imagery BCI
Brain computer interfaces (BCI) provide ways for the brain to communicate directly with a computer, and are today primarily used as an aid for people with severe movement impairing disorders. In this study a BCI feature extraction method using a combination of spatial filtering and time-frequency (TF) analysis is developed. The features are then classified using a convolutional neural network. A f