Using wavelet transform to analyse cardiorespiratory and electroencephalographic signals during sleep

Author

Sartene, R. ; Wallet, JC ; Allione, P. ; Palka, S. ; PouPard, L. ; Bernard, J.L.

Author_Institution

Service de Pneumologie, Hopital Robert Ballanger, Aulnay-sous-Bois, France

fYear

1994

fDate

3-6 Nov 1994

Abstract

The time frequency method of analysis represented by the wavelet transform provides a spectral analysis decomposition in which representation of temporal dynamics is maintained. The wavelet transform is most well suited to describe nonstationarities where the desired outcome is the analysis of the dynamics of interdependent physiological systems

Keywords

electroencephalography; medical signal processing; spectral analysis; time-frequency analysis; wavelet transforms; cardiorespiratory signal analysis; electroencephalographic signal analysis; interdependent physiological systems dynamics; nonstationarities description; spectral analysis decomposition; temporal dynamics representation; time frequency method; Abdomen; Amplitude modulation; Cardiology; Fast Fourier transforms; Frequency; Signal analysis; Sleep; Spectral analysis; Time frequency analysis; Ventilation; Wavelet analysis; Wavelet transforms;

fLanguage

English

Publisher

ieee

Conference_Titel

Engineering in Medicine and Biology Society, 1994. Engineering Advances: New Opportunities for Biomedical Engineers. Proceedings of the 16th Annual International Conference of the IEEE

Conference_Location

Baltimore, MD

Print_ISBN

0-7803-2050-6

Type

conf

DOI

10.1109/IEMBS.1994.412129

Filename

412129