Analysis of frequency bands and channels configuration for detecting intention of change speed through EEG

The combination of rehabilitation technologies and better control systems for the assistive technologies allows us to create brain-machine interfaces for motion control by using exoskeleton devices. In this work, the creation of a protocol and analysis method is developed for human decision-making decoding in tasks related to motor activity. The aims of this research is to be able to develop a real-time interface for the control of a lower-limb exoskeleton in the future. The proposed analysis tries to decode the patterns when subjects have the intention to change their current speed on their own will. 4 subjects performed the experiments obtaining results around 65%.