Brain signal processing system development project in order to improve the performance of the brain-computer interface system


The purpose of this project is to increase the accuracy and efficiency of BCI systems and to strengthen the system against noise and artifacts.

Using deep learning method to remove noise and artifacts

Extracting new features in the three domains of time, space and frequency

Improving and using filter-based methods in the feature selection stage

Combining features to achieve the best set of features