Spectral and coherence analysis applied to sleep apnea

Spectral and coherence analysis applied to sleep apnea

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 p...

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Veröffentlicht in:IEEE engineering in medicine and biology magazine 1990-03, Vol.9 (1), p.76-78
1. Verfasser: Silage, D.A.
Format: Artikel
Sprache:eng
Schlagworte:
Algorithm design and analysis
Electroencephalography
Fast Fourier transforms
Filters
Frequency domain analysis
Senior citizens
Sleep apnea
Spectral analysis
Time domain analysis
Ventilation
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Zusammenfassung: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.< >
ISSN:0739-5175
DOI:10.1109/51.62913