|
8
|
modelling of high-dimensionality electroencephalographic data
– N Matthijs F Estienne, P Ricoux D L Massart, “Multi-way andD Leibovici
- 2001
|
|
29
|
Decomposing EEG data into space-time-frequency components using parallel factor analysis
– F Miwakeichi, E Martínez-Montes, P A Valdés-Sosa, N Nishiyama, H Mizuhara, Y Yamaguchi
- 2004
|
|
26
|
Parallel factor analysis as an exploratory tool for wavelet transformed event-related EEG
– M Mørup, L K Hansen, C S Herrmann, J Parnas, S M Arnfred
- 2006
|
|
15
|
A new efficient method for determining the number of components in PARAFAC models
– R Bro, H A L Kiers
- 2003
|
|
129
|
EEGLAB: an open source toolbox for analysis of single-trial EEG dynamics including independent component analysis
– Arnaud Delorme, Scott Makeig
|
|
11
|
Multiway analysis of epilepsy tensors
– E Acar, C Aykut-Bingol, H Bingol, R Bro, B Yener
- 2007
|
|
23
|
The extension of factor analysis to three-dimensional matrices
– L R TUCKER
- 1964
|
|
127
|
Some mathematical notes on three-mode factor analysis. Psychometrika
– L Tucker
- 1966
|
|
3
|
Foundations of the parafac procedure:models and conditions for an 'explanatory' multi-modal factor analysis. UCLA working papers in phonetics 16
– R A HARSHMAN
- 1970
|
|
14
|
Centering and scaling in component analysis
– R Bro, A K Smilde
- 2003
|
|
5
|
Independent component analysis removing artifacts in ictal recordings
– E URRESTARAZU, J IRIARTE, M ALEGRE, M VALENCIA, C VITERI, J ARTIEDA
- 2004
|
|
2
|
A new muscle artifact removal technique to improve the interpretation of the ictal scalp electroencephalogram
– W D Clercq
- 2005
|
|
7
|
Automatic Artifact Rejection For EEG Data Using High-Order Statistics And Independent Component Analysis
– A. Delorme, S. Makeig, T. Sejnowski
- 2001
|
|
2
|
Semi-automatic artifact rejection procedure based on kurtosis, renyi’s entropy and independent component scalp maps
– Antonino Greco, Nadia Mammone, Francesco Carlo Morabito, Mario Versaci
- 2005
|
|
6
|
A system for automatic artifact removal in ictal scalp EEG based on independent component analysis and Bayesian classification. In: Clin. Neurophysiology 117
– P LeVan, E Urrestarazu, J Gotman
- 2006
|
|
17
|
Recipes for the linear analysis of EEG
– L C Parra, C D Spence, A D Gerson, P Sajda
- 2005
|
|
8
|
Wavelet analysis of epileptic spikes
– M Latka, Z Was
- 2003
|
|
62
|
A multilinear singular value decomposition
– L D Lathauwer, B D Moor, J Vandewalle
|
|
36
|
The N-way toolbox for MATLAB
– Andersson CA, R Bro
|
