Spectral and coherence analysis applied to sleep apnea

Author

Silage, D.A.

Author_Institution

Dept. of Electr. Eng., Temple Univ., Philadelphia, PA, USA

Volume

9

Issue

1

fYear

1990

fDate

3/1/1990 12:00:00 AM

Firstpage

76

Lastpage

78

Abstract

The various mechanisms that have been proposed to explain sleep apnea in the elderly are examined. Spectral analysis of the electroencephalogram (EEG), not only in the frequency domain using autoregressive algorithms and the fast Fourier transform, but also in the time domain with comb filters and period-amplitude (PA) analysis, is discussed. The PA features, in particular, may provide an improved basis for the coherence function between ventilation and the state-dependent input.<>

Keywords

electroencephalography; fast Fourier transforms; frequency-domain analysis; signal processing; spectral analysis; time-domain analysis; autoregressive algorithms; coherence analysis; comb filters; elderly; electroencephalogram; fast Fourier transform; frequency domain; period amplitude analysis; sleep apnea; spectral analysis; time domain; Algorithm design and analysis; Electroencephalography; Fast Fourier transforms; Filters; Frequency domain analysis; Senior citizens; Sleep apnea; Spectral analysis; Time domain analysis; Ventilation;

fLanguage

English

Journal_Title

Engineering in Medicine and Biology Magazine, IEEE

Publisher

ieee

ISSN

0739-5175

Type

jour

DOI

10.1109/51.62913

Filename

62913