MartMi-BCI: A matlab-based real-time motor imagery brain-computer interface platform

Abstract

Motor imagery brain-computer interface (MI-BCI) is a promising tool for neuro-rehabilitation. The real-time MI-BCI enables people with motor dysfunction disease to interact with the outside world. This work develops a Matlab-based real-time MI-BCI (MartMi-BCI) software, which involves two main modules, a real-time EEG analysis platform (RTEEGAP) and a model training platform (MTP). The RTEEGAP can realize real-time EEG analysis in time, frequency, and spatial domains and perform MI experiments with real-time feedback based on the OpenBCI device. Simultaneously, the MTP can train the CSP-based MI classification model and visualize the time–frequency reaction map. We hope the MartMi-BCI software can promote the development of EEG-based MI paradigm design and EEG classification algorithms.

Keywords

• Brain-computer interface (BCI)
• Motor imagery
• OpenBCI
• Matlab
• Real-time