Methods, systems, and apparatus for self-calibrating EEG neurofeedback

A system for classifying perceptual states comprising:

• an EEG sensor and signal conditioning platform;
• a classifier, the classifier constructed using EEG data of only a single user;
• and
• a mobile neurofeedback apparatus coupled to the signal conditioning platform comprising:
• an input interface constructed to allow the single user to enter a first single user time-stamped marker on first EEG data taken from only the single user, the single user marker configured to be used in the classifier for machine learning of arbitrary, user-defined perceptual brain states,
• the classifier constructed to receive and operate on second EEG data from the single user, the single user marker entered for one arbitrary, user-defined perceptual brain state perceived only by the single user during a calibration phase;
• a processor configured to predict the one arbitrary, user-defined perceptual brain state for the same single user by using the classifier to analyze incoming second EEG signals of the same single user during an operational phase and to generate a classification result;
• and
• a display configured for viewing of EEG data and the classification result;
• wherein the classifier is further constructed to be a multi-class classifier to receive a second single user marker entered for at least one additional arbitrary, user-defined perceptual brain state opposite the one arbitrary, user-defined perceptual brain state;
• and wherein the classifier also classifies non-binary intermediate brain states between the one arbitrary, user-defined perceptual brain state and the one additional arbitrary, user-defined perceptual brain state.