Time domain-based methods for noninvasive brain-machine interfaces

摘要

A noninvasive brain computer interface (BCI) system includes an electroencephalography (EEG) electrode array configured to acquire EEG signals generated by a subject. The subject observes movement of a stimulus. A computer is coupled to the EEG electrode array and configured to collected and process the acquired EEG signals. A decoding algorithm is used that analyzes low-frequency (delta band) brain waves in the time domain to continuously decode neural activity associated with the observed movement.

主权项

1. A method of decoding neural activity for a brain computer interface (BCI) system, comprising the steps of:
recording noninvasively acquired electroencephalography (EEG) signals of a subject in a time domain when the subject observes movement of a stimulus while the subject is simultaneously imagining movement of a limb tracking the movement of the stimulus; continuously decoding only the recorded EEG signals having a frequency of less than 4 Hz and in the time domain associated with the observed movement and the imagined movement; and correlating fluctuations in amplitude of the decoded recorded EEG signals with an intent of the subject.