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.
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页码：436 / &
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