Title :
Spectral and coherence analysis applied to sleep apnea
Author_Institution :
Dept. of Electr. Eng., Temple Univ., Philadelphia, PA, USA
fDate :
3/1/1990 12:00:00 AM
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;
Journal_Title :
Engineering in Medicine and Biology Magazine, IEEE
