Portal: A user-friendly environment for BCI models training

Abstract

This paper describes an application dedicated to noninvasive electroencephalography (EEG) signal processing and recognition. The goal of the designed software is to provide endto-end support for brain-computer interface (BCI) routines including data acquisition, signal filtering and preprocessing, feature extraction, classification and subject feedback. The software is supplied with a large number of data processing tools including ready-to-use machine learning and deep learning techniques. The real-time processing mode is also implemented.