TY - GEN
T1 - Hyperparameters estimation for the Bayesian localization of the EEG sources with TV priors
AU - López, Antonio
AU - Cortés, Jesús M.
AU - López-Oiler, Domingo
AU - Molina, Rafael
AU - Katsaggelos, Aggelos K.
PY - 2012
Y1 - 2012
N2 - In this work we propose a new Bayesian method for the non-invasive localization of EEG sources. For this problem, most of the existing methods assume that the sources are distributed throughout the brain volume according to smooth 3D patterns. However, this assumption might fail in pathological conditions, such as in an epileptic brain, where it can occur that the neurophysiological generators are localized in a narrow region, highly compacted, what originates abrupt profiles of electrical activity. This new method incorporates a Total Variation (TV) prior which has been used before in image processing for edge detection and applies variational methods to approximate the probability distributions to estimate the unknown parameters and the sources. The procedure is tested and validated on synthetic EEG data.
AB - In this work we propose a new Bayesian method for the non-invasive localization of EEG sources. For this problem, most of the existing methods assume that the sources are distributed throughout the brain volume according to smooth 3D patterns. However, this assumption might fail in pathological conditions, such as in an epileptic brain, where it can occur that the neurophysiological generators are localized in a narrow region, highly compacted, what originates abrupt profiles of electrical activity. This new method incorporates a Total Variation (TV) prior which has been used before in image processing for edge detection and applies variational methods to approximate the probability distributions to estimate the unknown parameters and the sources. The procedure is tested and validated on synthetic EEG data.
KW - Bayesian Inference
KW - EEG Source Localization
KW - Hyperparameters Estimation
KW - TV Prior
KW - Variational Methods
UR - http://www.scopus.com/inward/record.url?scp=84869827603&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84869827603&partnerID=8YFLogxK
M3 - Conference contribution
AN - SCOPUS:84869827603
SN - 9781467310680
T3 - European Signal Processing Conference
SP - 489
EP - 493
BT - Proceedings of the 20th European Signal Processing Conference, EUSIPCO 2012
T2 - 20th European Signal Processing Conference, EUSIPCO 2012
Y2 - 27 August 2012 through 31 August 2012
ER -