Time-frequency analysis of electroencephalogram series. II. Gabor and wavelet transforms
In this paper we compare two methods, based on the Gabor and wavelet transforms, to quantify and visualize the time evolution of frequency contents of electroencephalogram (EEG) time series. We found an optimal correlation between EEG visual inspection and the proposed methods in the characterizatio...
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| Autores principales: | , , , , |
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| Formato: | Artículo publishedVersion |
| Publicado: |
1996
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| Acceso en línea: | http://hdl.handle.net/20.500.12110/paper_1063651X_v54_n6_p6661_Blanco https://repositoriouba.sisbi.uba.ar/gsdl/cgi-bin/library.cgi?a=d&c=artiaex&d=paper_1063651X_v54_n6_p6661_Blanco_oai |
| Aporte de: |
| Sumario: | In this paper we compare two methods, based on the Gabor and wavelet transforms, to quantify and visualize the time evolution of frequency contents of electroencephalogram (EEG) time series. We found an optimal correlation between EEG visual inspection and the proposed methods in the characterization of the frequency and energy content of characteristic activity during an epileptic seizure. The quasimonofrequency behavior observed in the epileptic EEG series, in a previous work using a Gabor analysis [J. Inst. Electr. Eng. 93, 429 (1946)], is confirmed with the analysis using a wavelet. Moreover, the method based on the wavelet transform allows us to build a detector of epileptic events. Both methods are exemplified with EEG series obtained with depth electrodes in refractory epileptic patients. © 1996 The American Physical Society. |
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