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PubMed · 7442189

Autoregressive analysis: a method for detecting electroencephalic changes in newborns to tones.

D H Crowell·L E Kapuniai·R H Jones·G Pang-Ching
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Abstract

This report presents an autoregressive technique for detectiong statistically significant changes in brain activity to tones. The change detectin 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.

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Acoustic StimulationElectroencephalographyEvoked Potentials, AuditoryHumansInfant, NewbornModels, BiologicalRegression AnalysisJournal ArticleResearch Support, U.S. Gov't, P.H.S.

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D H Crowell, L E Kapuniai, R H Jones, G Pang-Ching. 1980. Autoregressive analysis: a method for detecting electroencephalic changes in newborns to tones.. https://pubmed.ncbi.nlm.nih.gov/7442189/

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