TY - JOUR
T1 - Time-frequency analysis of EEG asymmetry using bivariate empirical mode decomposition
AU - Park, C.
AU - Looney, D.
AU - Kidmose, P.
AU - Ungstrup, Michael
AU - Mandic, D.P.
PY - 2011/8/1
Y1 - 2011/8/1
N2 - A novel method is introduced to determine asymmetry, the lateralization of brain activity, using extension of the algorithm empirical mode decomposition (EMD). The localized and adaptive nature of EMD make it highly suitable for estimating amplitude information across frequency for nonlinear and nonstationary data. Analysis illustrates how bivariate extension of EMD (BEMD) facilitates enhanced spectrum estimation for multichannel recordings that contain similar signal components, a realistic assumption in electroencephalography (EEG). It is shown how this property can be used to obtain a more accurate estimate of the marginalized spectrum, critical for the localized calculation of amplitude asymmetry in frequency. Simulations on synthetic data sets and feature estimation for a brain-computer interface (BCI) application are used to validate the proposed asymmetry estimation methodology.
AB - A novel method is introduced to determine asymmetry, the lateralization of brain activity, using extension of the algorithm empirical mode decomposition (EMD). The localized and adaptive nature of EMD make it highly suitable for estimating amplitude information across frequency for nonlinear and nonstationary data. Analysis illustrates how bivariate extension of EMD (BEMD) facilitates enhanced spectrum estimation for multichannel recordings that contain similar signal components, a realistic assumption in electroencephalography (EEG). It is shown how this property can be used to obtain a more accurate estimate of the marginalized spectrum, critical for the localized calculation of amplitude asymmetry in frequency. Simulations on synthetic data sets and feature estimation for a brain-computer interface (BCI) application are used to validate the proposed asymmetry estimation methodology.
UR - http://www.scopus.com/inward/record.url?scp=80051769878&partnerID=8YFLogxK
U2 - 10.1109/TNSRE.2011.2116805
DO - 10.1109/TNSRE.2011.2116805
M3 - Journal article
C2 - 21342855
AN - SCOPUS:80051769878
SN - 1534-4320
VL - 19
SP - 366
EP - 373
JO - I E E E Transactions on Neural Systems and Rehabilitation Engineering
JF - I E E E Transactions on Neural Systems and Rehabilitation Engineering
IS - 4
ER -