Abstract
The spatio-temporal EEG features are extracted by a two-stage ICAs. First, a spatial ICA is performed to extract spatially-distributed sources, and the second ICA is introduced in temporal domain for the coefficients of spatial sources. This 2-stage method provides much better features than spatial ICA only, and is computationally more efficient than single-stage spatio-temporal ICA. Among the extracted spatio-temporal features critical features are selected for the given tasks based on Fisher criterion. The extracted features may be applicable to the classification of single-trial EEG signals.
Keywords
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Birbaumer, N., Kubler, A., Ghanayim, N., Hinterberger, T., Perelmouter, J., Kaiser, J., Iversen, I., Kotchoubey, B., Neumann, N., Flor, H.: The thought translation device (ttd) for completely paralyzed patients. IEEE Trans. Rehab. Eng. 8, 190–193 (2000)
Donchin, E., Spencer, K.M., Wijesinghe, R.: The mental prosthesis: assessing the speed of a p300-based brain-computer interface. IEEE Trans. Rehabil. Eng. 8, 174–179 (2000)
Makeig, S., Enghoff, S., Jung, T.P., Sejnowski, T.J.: A natural basis for efficient brain-actuated control. IEEE Trans. Rehabilitation Eng. 8, 208–211 (2000)
Pfurtscheller, G., Neuper, C., Flotzinger, D., Pregenzer, M.: EEG-based discrimination between imagination of right and left hand movement. Electroenceph. clin. Neurophysiol. 103, 642–651 (1997)
Wolpaw, J.R., McFarland, D.J., Vaughan, T.M.: Brain-computer interface research at the wadsworth center. IEEE Trans. Rehabil. Eng. 8(2), 222–226 (2000)
Muller-Gerking, J., Pfurtscheller, G., Flyvbjerg, H.: Designing optimal spatial filters for single-trial EEG classification in a movement task. Clin. Neurophysiol. 110, 787–798 (1999)
Naeem, M., Brunner, C., Leeb, R., Graimann, B., Pfurtscheller, G.: Seperability of four-class motor imagery data using independent components analysis. J. Neural Eng. 3 (2006)
Cichocki, A., Shishkin, S.L., Musha, T., Leonowicz, Z., Asada, T., Kurachi, T.: Eeg filtering based on blind source separation (bss) for early detection of alzheimer’s disease. Clinical Neurophysiology 116, 729–737 (2005)
Ramoser, H., Muller-Gerking, J., Pfurtscheller, G.: Optimal spatial filtering of single trial EEG during imagined hand movement. IEEE Trans. Rehabil. Eng. 8(4), 441–446 (2000)
Dornhege, G., Blankertz, B., Curio, G., Muller, K.-R.: Boosting bit rates in non-invasive EEG single-trial classifications by feature combination and multi-class paradigms. IEEE Trans. Biomed. Eng. 51(6), 993–1002 (2004)
McFarland, D.J., McCane, L.M., David, S.V., Wolpaw, J.R.: Spatial filter selection for EEG-based communication. Clin. Neurophysiol. 103, 386–394 (1997)
Tsai, A.C., Liou, M., Jung, T.P., Onton, J.A., Cheng, P.E., Huang, C.C., Duann, J.R., Makeig, S.: Mapping single-trial EEG records on the cortical surface through a spatiotemporal modality. NeuroImage 32, 195–207 (2006)
Lee, J.H., Lee, T.W., Jung, H.Y., Lee, S.Y.: On the efficient speech feature extraction based on independent component analysis. Neural Processing Letters 15, 235–245 (2002)
Duda, R.O., Hart, P.E., Stork, D.G.: Pattern Classification, 2nd edn. John Wiley & Sons, Chichester (2001)
Pfurtscheller, G., Brunner, C., Schlogl, A., da Silva, F.H.L.: Mu rhythm (de)synchronization and EEG single-trial classification of different motor imagery tasks. NeuroImage 31, 153–159 (2006)
Author information
Authors and Affiliations
Editor information
Rights and permissions
Copyright information
© 2008 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Lee, S., Lee, SY. (2008). ICA-Based Spatio-temporal Features for EEG Signals. In: Ishikawa, M., Doya, K., Miyamoto, H., Yamakawa, T. (eds) Neural Information Processing. ICONIP 2007. Lecture Notes in Computer Science, vol 4985. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-69162-4_95
Download citation
DOI: https://doi.org/10.1007/978-3-540-69162-4_95
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-69159-4
Online ISBN: 978-3-540-69162-4
eBook Packages: Computer ScienceComputer Science (R0)