Segmentation of the EEG by Minimization of the Total Gain in Information
作者:
E. Reschenhofer,
R. Vollmer,
M. Deistler,
期刊:
Neuropsychobiology
(Karger Available online 1987)
卷期:
Volume 18,
issue 3
页码: 155-159
ISSN:0302-282X
年代: 1987
DOI:10.1159/000118410
出版商: S. Karger AG
关键词: Non-stationarity;Structural break;Drug effects;Vigilance
数据来源: Karger
摘要:
A new procedure for detecting departures from constancy of the parameters of a probabilistic model over a period of time is proposed. It basically consists of specification of a joint probability distribution for data and models and minimization of the total gain in information. In contrast to conventional techniques, this procedure can be used to determine both the number of different models and the positions of the points at which the switches from one model to another occur. It is demonstrated how this new method can be applied to the problem of identification of different stages of EEG background activity. The lengths of these stages might serve as indicators for drug effects in the EEG.
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