Describing the sleep EEG with an Adaptive
Summary Summary The spectral information of the sleep EEG is an important indicator for the sleep stage1. Adaptive autoregressive parameters can describe the time-varying spectrum. The AR spectrum is a maximum entropy spectral estimator, which is optimal with respect to the number of parameters. No selection of frequency bands is required if the AR parameters are combined by a classifier. Adaptive estimation algorithms are useful for the on-line and real- time sleep analysis2.