Eeg brain-computer interface platform and process for detection of changes to mental state

Abstract

A system for a brain-computer interface (BCI) is provided. The system comprises an output unit configured to trigger a series of mental tasks for the patient, a device having a plurality of electrodes to continuously capture real-time raw electroencephalography (EEG) data from a patient, a server, and a display device to display and update an interface with visual elements based on issued control commands from the server. The server has an acquisition unit configured to receive the electrode data, a processor configured to detect real-time changes in brain-state of the patient in response to the series of mental tasks for the patient, a presentation unit configured to generate visual elements for an interface in real-time, and a display controller configured to issue control commands to update the interface using the generated visual elements. The processor detects the real-time changes in brain-state using the electrode data. The processor is configured to generate a set of features based upon a frequency domain analysis of the EEG data, reduce the dimensionality of the set of features by implementing a feature clustering process to account for redundancy in EEG signal features of the EEG data, and classify the features into a mental state.