EEG inverse problem III

Brain Source Localization Using EEG Signal Analysis ◽

10.1201/9781315156415-7 ◽

2017 ◽

pp. 91-112

Author(s):

Munsif Ali Jatoi ◽

Nidal Kamel

Keyword(s):

Inverse Problem ◽

Eeg Inverse Problem

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Modeling of post-surgical brain and skull defects in the EEG inverse problem with the boundary element method

Clinical Neurophysiology ◽

10.1016/s1388-2457(01)00714-3 ◽

2002 ◽

Vol 113 (1) ◽

pp. 48-56 ◽

Author(s):

C.G Bénar ◽

J Gotman

Keyword(s):

Inverse Problem ◽

Boundary Element Method ◽

Boundary Element ◽

Skull Defects ◽

Eeg Inverse Problem ◽

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Particle Filtering Applied to the EEG Inverse Problem with Dependent Noises

VI Latin American Congress on Biomedical Engineering CLAIB 2014, Paraná, Argentina 29, 30 & 31 October 2014 - IFMBE Proceedings ◽

10.1007/978-3-319-13117-7_132 ◽

2015 ◽

pp. 516-519

Author(s):

Sergio Liberczuk ◽

Bruno Cernuschi Frías

Keyword(s):

Inverse Problem ◽

Particle Filtering ◽

Eeg Inverse Problem

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EEG inverse problem II

Brain Source Localization Using EEG Signal Analysis ◽

10.1201/9781315156415-6 ◽

2017 ◽

pp. 79-90

Author(s):

Munsif Ali Jatoi ◽

Nidal Kamel

Keyword(s):

Inverse Problem ◽

Eeg Inverse Problem

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A New Approach to the MEG/EEG Inverse Problem for the Recovery of Cortical Phase-Synchrony

Lecture Notes in Computer Science - Information Processing in Medical Imaging ◽

10.1007/3-540-45729-1_29 ◽

2001 ◽

pp. 272-285 ◽

Author(s):

Olivier David ◽

Line Garnero ◽

Francisco J. Varela

Keyword(s):

Inverse Problem ◽

Phase Synchrony ◽

New Approach ◽

Eeg Inverse Problem

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Mixed-norm estimates for the M/EEG inverse problem using accelerated gradient methods

Physics in Medicine and Biology ◽

10.1088/0031-9155/57/7/1937 ◽

2012 ◽

Vol 57 (7) ◽

pp. 1937-1961 ◽

Author(s):

Alexandre Gramfort ◽

Matthieu Kowalski ◽

Matti Hämäläinen

Keyword(s):

Inverse Problem ◽

Gradient Methods ◽

Norm Estimates ◽

Eeg Inverse Problem ◽

Accelerated Gradient ◽

Accelerated Gradient Methods

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Solving of L0 norm constrained EEG inverse problem

2009 Annual International Conference of the IEEE Engineering in Medicine and Biology Society ◽

10.1109/iembs.2009.5335009 ◽

2009 ◽

Author(s):

Peng Xu ◽

Xu Lei ◽

Xiao Hu ◽

Dezhong Yao

Keyword(s):

Inverse Problem ◽

Eeg Inverse Problem

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General bounds for electrode mislocation on the EEG inverse problem

Computer Methods and Programs in Biomedicine ◽

10.1016/j.cmpb.2010.05.008 ◽

2011 ◽

Vol 103 (1) ◽

pp. 1-9 ◽

Author(s):

L. Beltrachini ◽

N. von Ellenrieder ◽

C.H. Muravchik

Keyword(s):

Inverse Problem ◽

Eeg Inverse Problem

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Reduced Conductivity Dependence Method for Increase of Dipole Localization Accuracy in the EEG Inverse Problem

IEEE Transactions on Biomedical Engineering ◽

10.1109/tbme.2011.2107740 ◽

2011 ◽

Vol 58 (5) ◽

pp. 1430-1440 ◽

Author(s):

B R Yitembe ◽

G Crevecoeur ◽

R Van Keer ◽

L Dupré

Keyword(s):

Inverse Problem ◽

Dipole Localization ◽

Localization Accuracy ◽

Eeg Inverse Problem

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Assessing the relevance of fMRI-based prior in the EEG inverse problem: a bayesian model comparison approach

IEEE Transactions on Signal Processing ◽

10.1109/tsp.2005.853220 ◽

2005 ◽

Vol 53 (9) ◽

pp. 3461-3472 ◽

Author(s):

J. Daunizeau ◽

C. Grova ◽

J. Mattout ◽

G. Marrelec ◽

D. Clonda ◽

...

Keyword(s):

Inverse Problem ◽

Bayesian Model ◽

Model Comparison ◽

Bayesian Model Comparison ◽

Comparison Approach ◽

Eeg Inverse Problem

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Better conditioning the MEG/EEG inverse problem: The multivariate source prelocalization approach

2004 2nd IEEE International Symposium on Biomedical Imaging: Macro to Nano (IEEE Cat No. 04EX821) ◽

10.1109/isbi.2004.1398799 ◽

2005 ◽

Author(s):

J. Mattout ◽

J. Daunizeau ◽

M. Pelegrini-Issac ◽

L. Garnero ◽

H. Benali

Keyword(s):

Inverse Problem ◽

Eeg Inverse Problem

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