ICA and a gauge of filter for the automatic filtering of an EEG signal

Proceedings of the International Joint Conference on Neural Networks

Volumn 4, Issue , 2005, Pages 2508-2513

  Bouzida, Nabila ^a   Peyrodie, Laurent ^a   Vasseur, Christian ^b  

^a Ecole des Hautes Etudes d'Ingenieur   (France)

^b UNIV LILLE   (France)

Author keywords

[No Author keywords available]

Indexed keywords

BRAIN; EYE MOVEMENTS; INDEPENDENT COMPONENT ANALYSIS; MUSCLE; SIGNAL FILTERING AND PREDICTION; STATISTICAL METHODS;

ARTIFACTS; JAW CLENCHING;

ELECTROENCEPHALOGRAPHY;

EID: 33750134746     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/IJCNN.2005.1556297     Document Type: Conference Paper

References (16)

1. A. Hyvarinen, "Survey on Independent Component Analysis", Neural Comp. Surveys. ,vol. 2 ,pp. 94-128, 1999.
2. TW. Lee, M. Girolami, A J. Bell and TJ. Sejnowski "A Unifying Information-theoretic Framework for Independent Component Analysis", Int. journal of Compu. and Math. with Applic., 1999.
3. N. Kasabov, Dynamic modeling of brain functions and cognitive processes, Chapter 9, [online]: http://www.aut.ac.nz/research-showcase /research- activity_areas/kedri/downloads/pdf/BookChapters/ch09.pdf, dec.2002.
4. T.-P. Jung, C. Humphries, T.-W. Lee, M.J. McKeown, V.Iragui, S.Makeig, and T. J. Sejnowski, "Removing electroencephalographic artifacts by blind source separation", Psychophysiolog.,vol. 37,pp. 163-178, 2000.
5. M. Rey, P. Guillemant,"Apport des mathmatiques non-linaires (thorie du chaos) l'analyse de l'EEG", Neurophysiologie clinique ,vol. 27,pp. 406-428, 1997.
6. A. Delorme and S. Makeig, "EEG changes accompanying leamed regulation of the 12-Hz EEG activity", IEEE Trans. Rehabilit. Eng. ,vol. 11,no. 2,pp. 133-136, 2003.
7. K. Yang, JC. Rajapakse, "ICA gives high order functional connectivity of brain", Neural Inf Process. Letters and review. ,vol. 2,no. 2, Feb. 2004.
8. J. Herault and C. Jutten, "Blind separation of sources, part I: an adaptive algorithm based on neuromimetic architecture", Signal Processing ,vol. 24,pp. 1-10, 1991.
9. T.-P. Jung, S. Makeig, M.J. Mckeown, A.J. Bell, TW. Lee, TJ. Sejnowski, "Imaging brain dynamics using independent component analysis, Proceedings of the IEEE,vol. 89,no. 7,pp. 1107-1122, jul. 2001.
10. L. Peyrodie , T. Morineaux, P. Gallois, G. Forzy : "A Multi-Channel Analysis of the EEG signals for epileptic seizure forecast",Houston, USA, jun. 2002.
11. W. Hamadene, L. Peyrodie, C. Vasseur, P. Gallois and G. Forzy, "Non linear modelisation of EEG signal by the logistic equation", EMBS-IEEE ,Japon, 2003.
12. A. Hyvarinen and E. Oja, "Independent component analysis: algorithms and applications", Neural Network ,vol. 13,pp. 30-411, 2000.
13. CA. Joyce, IF. Gorodnitsky, M. Kutas, "Automatic removal of eye movement and blink artefacts from EEG data using blind component separation", Psychophysiolog.,vol. 41, no. 2,pp. 313, mars 2004.
14. S. Vorobyov, A. Cichocki, "Blind noise reduction for multisensory signals using ICA and subspace filtering, with application to EEG analysis", Biological Cybernetics,vol. 86,pp. 293-303, 2002.
15. R. Vigrio, J. Srel and E. Oja. "Independent Component Approach to the Analysis of EEG and MEG Recordings", IEEE Trans. Biom. Eng.,vol. 47, no. 5, may 2000.
16. C.J James and O.J. Gibson, "Temporally constrained ICA: An application to artifact rejection in electromagnetic brain signal analysis", IEEE Trans. Biom. Eng.,vol. 50, no. 9,pp. 1008-1116, sep. 2003.