Spatiotemporal signal analysis: recognition of interacting modes

Author

Uhl, Christian ; Friedrich, R.

Author_Institution

Max-Planck Inst. of Cognitive Neurosci., Leipzig, Germany

Volume

2

fYear

1996

fDate

25-29 Aug 1996

Firstpage

55

Abstract

We present a new algorithm to analyse spatiotemporal signals emerging from nonlinear systems which are close to instability. The algorithm aims at a recognition of spatial modes, both order parameters and enslaved modes, and equations describing the dynamics of the amplitudes by order parameter equations and center manifolds. We demonstrate the method by a simulated example from the field of hydrodynamics (Benard instability) and discuss results of the method applied to spatiotemporal EEG-data of epileptic seizures

Keywords

Navier-Stokes equations; Rayleigh-Benard instability; electroencephalography; hydrodynamics; signal processing; Benard instability; EEG-data; center manifolds; enslaved modes; epileptic seizures; hydrodynamics; instability; interacting modes; nonlinear systems; order parameters; spatial modes; spatiotemporal signal analysis; Active appearance model; Biological systems; Eigenvalues and eigenfunctions; Hydrodynamics; Meteorology; Neuroscience; Physics; Principal component analysis; Signal analysis; Spatiotemporal phenomena;

fLanguage

English

Publisher

ieee

Conference_Titel

Pattern Recognition, 1996., Proceedings of the 13th International Conference on

Conference_Location

Vienna

ISSN

1051-4651

Print_ISBN

0-8186-7282-X

Type

conf

DOI

10.1109/ICPR.1996.546723

Filename

546723