Analysis of EEG signal by Flicker Noise Spectroscopy: Identification of right/left hand movement imagination
This work addresses the need for improved EEG analysis methods in brain-computer interfaces, but it is incremental as it applies an existing technique to a specific domain.
The study tackled the problem of distinguishing between right and left hand movement imagination from EEG signals using Flicker Noise Spectroscopy, showing that changes in FNS parameters allow for this distinction with potential application in brain-computer interfaces.
Flicker Noise Spectroscopy (FNS) has been used for the analysis of electroencephalography (EEG) signal related to the movement imagination. The analysis of sensorimotor rhythms in time-frequency maps reveals the event-related desynchronization (ERD) and the post-movement event-related synchronization (ERS), observed mainly in the contralateral hemisphere to the hand moved for the motor imagery. The signal has been parameterized in accordance with FNS method. The significant changes of the FNS parameters, at the time when the subject imagines the movement, have been observed. The analysis of these parameters allows to distinguish between imagination of right and left hands movement. Our study shows that the flicker-noise spectroscopy can be an alternative method of analyzing EEG signal related to the imagination of movement in terms of a potential application in the brain-computer interface (BCI).