Analysis of EEG signal by Flicker Noise Spectroscopy: Identification of right/left hand movement imagination

TL;DR

This paper demonstrates that Flicker Noise Spectroscopy can effectively analyze EEG signals to distinguish between right and left hand movement imagination, offering a potential alternative for brain-computer interface applications.

Contribution

The study introduces the application of Flicker Noise Spectroscopy to EEG analysis for motor imagery, highlighting its ability to differentiate between hand movement imaginings.

Findings

FNS parameters significantly change during movement imagination.

FNS can distinguish between right and left hand motor imagery.

Potential use of FNS in BCI systems.

Abstract

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).