EEG cortical imaging: A vector field approach for laplacian denoising and missing data estimation

2004 2nd IEEE International Symposium on Biomedical Imaging: Macro to Nano

Volumn 2, Issue , 2004, Pages 1335-1338

  Alecu, Teodor Iulian ^a   Voloshynovskiy, Sviatoslav ^a   Pun, Thierry ^a  

^a UNIVERSITY OF GENEVA   (Switzerland)

Author keywords

[No Author keywords available]

Indexed keywords

APPROXIMATION THEORY; BIOLOGICAL ORGANS; COMPUTATIONAL GEOMETRY; DATA REDUCTION; ELECTRIC FIELD EFFECTS; ELECTRODES; FUNCTIONS; MATHEMATICAL OPERATORS; MEDICAL IMAGING; THEOREM PROVING; VECTOR QUANTIZATION;

DATA ESTIMATION; DENOISING; HIGH-PASS SPATIAL FILTERING; ROBUST ESTIMATION;

ELECTROENCEPHALOGRAPHY;

EID: 17144385173     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (5)

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2. R: Srinivasan, "Methods to Improve the Spatial Resolution of EEG", IJBEM 1(1), 102-111, 1999
3. Babiloni F, Babiloni C, Carducci F, Fattorini L, Onorati P, Urbano, "A: Spline Laplacian estimate of EEG potentials over a realistic magneto-resonance reconstructed scalp surface model", Electroencephalography and Clinical Neurophysiology, 98:363-373, 1996
4. D. Tschumperlé and R. Deriche, "Diffusion PDEs on vector-valued images", IEEE Signal Processing Magazine, 16-25, 09.02
5. D. Tschumperlé and R. Deriche, "Regularization of orthonormal vector sets using coupled PDE's", VLSM'2001, Variational and Level Sets Methods, Vancouver, Canada, 2001