Autoregressive Analysis

This report presents an autoregressive technique for detecting statistically significant changes in brain activity to tones. The change detection model is applied to stationary time series electroencephalogram samples from sleeping newborn infants. The electroencephalic responses of neonates to tones are quantified and analyzed in terms of t-statistics. Confidence limits applied to averaged t-statistics objectively and reliably defined statistically significant late components in newborns.