Slow rhythms of EEG

Author

Poupard, Laurent ; Sartene, Richard ; Mathieu, Marc

Author_Institution

Hopital Robert Ballanger, Aulnay-sous-Bois, France

Volume

3

fYear

1996

fDate

31 Oct-3 Nov 1996

Firstpage

1005

Abstract

The wavelet transform permits an approach of the mechanisms underlying the EEG activity. Brain activity results from interaction between different brain areas. These could modulate the amplitude of EEG activity and generate slow rhythms (Steriade et al., 1993). The wavelet transform was used to extract frequency (FM) and amplitude (AM) modulations of the EEG signal. AM was decomposed in two frequency bands: a) medium frequency band (MF) in the range 0.1-0.5 Hz, which could be linked with interactions between neuron networks and b) low frequency band (LF) in the range 0.015-0.1 Hz, which could be linked with peripherical activity via the cerebral trunk. The authors preliminary results show firstly the existence of the AM in the two bands MF and LF, secondly the negative correlation between amplitude and frequency modulation

Keywords

amplitude modulation; electroencephalography; frequency modulation; medical signal processing; wavelet transforms; 0.015 to 0.5 Hz; EEG activity amplitude; EEG slow rhythms; brain areas interaction; cerebral trunk; electrodiagnostics; low frequency band; medium frequency band; negative correlation; neuron networks; peripherical activity; Amplitude modulation; Brain; Delta modulation; Electroencephalography; Frequency modulation; Neurons; Rhythm; Sleep; Wavelet analysis; Wavelet transforms;

fLanguage

English

Publisher

ieee

Conference_Titel

Engineering in Medicine and Biology Society, 1996. Bridging Disciplines for Biomedicine. Proceedings of the 18th Annual International Conference of the IEEE

Conference_Location

Amsterdam

Print_ISBN

0-7803-3811-1

Type

conf

DOI

10.1109/IEMBS.1996.652682

Filename

652682