Finding significant correlates of conscious activity in rhythmic EEG (Q2502798)

Summary: One of the important issues in designing an EEG-based brain-computer interface is an exact delineation of the rhythms, related to the intended or performed action. Traditionally, related bands were found by trial and error procedures seeking maximum reactivity. Even then, large values of ERD/ERS did not imply the statistical significance of the results. This paper presents complete methodology, allowing for a high-resolution presentation of the whole time-frequency picture of event-related changes in the energy density of signals, revealing the microstructure of rhythms, and determination of the time-frequency regions of energy changes, which are related to the intentions in a statistically significant way.