Autoregressive Analysis A Method for Detecting Electroencephalic Changes in Newborns to Tones Research Article
Research Article  |   June 01, 1980
Autoregressive Analysis
 
Author Affiliations & Notes
  • David H. Crowell
    University of Hawaii, Honolulu
  • Linda E. Kapuniai
    University of Hawaii, Honolulu
  • Richard H. Jones
    University of Colorado Medical Center, Denver
  • Glenn Pang-Ching
    University of Hawaii, Honolulu
Article Information
Research Articles
Research Article   |   June 01, 1980
Autoregressive Analysis
Journal of Speech, Language, and Hearing Research, June 1980, Vol. 23, 248-257. doi:10.1044/jshr.2302.248
History: Received April 21, 1978 , Accepted June 7, 1979
 
Journal of Speech, Language, and Hearing Research, June 1980, Vol. 23, 248-257. doi:10.1044/jshr.2302.248
History: Received April 21, 1978; Accepted June 7, 1979

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.

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