Title :
Time-frequency methods in a study of voluntary movements
Author :
Ginter, J., Jr. ; Blinowska, K.J. ; Kaminski, M. ; Durka, P.J.
Author_Institution :
Inst. of Exp. Phys., Warsaw Univ., Poland
Abstract :
Two methods operating in time-frequency space were applied to analysis of brain activity accompanying voluntary finger movements. The first one, based on Matching Pursuit approach, provided high-resolution distributions of power in time-frequency space. The second method called short time Directed Transfer Function (SDTF), based on a multichannel autoregressive model (MVAR), allowed for investigation of EEG activity propagation as a function of time and frequency. The evidence of "cross-talk" between different areas of sensorimotor cortex was found.
Keywords :
autoregressive processes; binomial distribution; correlation methods; electroencephalography; iterative methods; medical signal processing; signal representation; signal resolution; synchronisation; time-frequency analysis; transfer functions; EEG activity propagation; Gabor functions; binomial frequency distributions; bootstrap method; brain activity; brain-computer interface design; correlation matrix; crosstalk; event related desynchronization; event related synchronization; high-resolution distributions; iterative adaptive procedure; matching pursuit approach; movement planning; multichannel autoregressive model; nonstationary signal analysis; sensorimotor cortex; short time directed transfer function; time-frequency methods; voluntary finger movements; Band pass filters; Brain modeling; Electroencephalography; Fingers; Frequency synchronization; Matching pursuit algorithms; Physics; Signal analysis; Time frequency analysis; Transfer functions;
Conference_Titel :
Engineering in Medicine and Biology Society, 2001. Proceedings of the 23rd Annual International Conference of the IEEE
Print_ISBN :
0-7803-7211-5
DOI :
10.1109/IEMBS.2001.1020567
