A METHOD FOR DETECTING CHANGE IN A TIME SERIES APPLIED TO NEWBORN EEG

被引：15

作者：

JONES, RH

CROWELL, DH

KAPUNIAI, LE

机构：

[1] University of Hawaii, Honolulu

来源：

ELECTROENCEPHALOGRAPHY AND CLINICAL NEUROPHYSIOLOGY | 1969年 / 27卷 / 04期

关键词：

D O I：

10.1016/0013-4694(69)91456-4

中图分类号：

R318 [生物医学工程];

学科分类号：

0831 ;

摘要：

An auto-regression model using a step-wise procedure for estimating the parameters has been developed to test for change in the post-stimulus onset EEG of a single subject. A stationary process is assumed for the pre-stimulus data and if there is no significant change, for the post-stimulus region. Change can be detected at any point in the time series giving a measure of response latency and duration. This analysis was performed utilizing the responses of a human newborn to sensory stimulation to demonstrate the applicability of the model for detecting changes in digitized EEG data and relating these to underlying neurophysiological activity. © 1969.

引用

页码：436 / &

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JONES, RH ;

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