2014/10/14 by Anna Broniec, Broniec, Anna
Neuroscience · #EEG and Brain-Computer Interfaces #FOS: Biological sciences #FOS: Computer and information sciences #FOS: Physical sciences #Functional Brain Connectivity Studies #Human-Computer Interaction (cs.HC) #Medical Physics (physics.med-ph) #Neural dynamics and brain function #Neurons and Cognition (q-bio.NC)
paper · pdf · doi:10.48550/arxiv.1410.4122
openalex publication_date 2014/10/14 · openalex created_date 2022/10/01 · openalex updated_date 2026/07/28
Flicker Noise Spectroscopy (FNS) has been used for the analysis of\nelectroencephalography (EEG) signal related to the movement imagination. The\nanalysis of sensorimotor rhythms in time-frequency maps reveals the\nevent-related desynchronization (ERD) and the post-movement event-related\nsynchronization (ERS), observed mainly in the contralateral hemisphere to the\nhand moved for the motor imagery. The signal has been parameterized in\naccordance with FNS method. The significant changes of the FNS parameters, at\nthe time when the subject imagines the movement, have been observed. The\nanalysis of these parameters allows to distinguish between imagination of right\nand left hands movement. Our study shows that the flicker-noise spectroscopy\ncan be an alternative method of analyzing EEG signal related to the imagination\nof movement in terms of a potential application in the brain-computer interface\n(BCI).\n