MAXIMUM A-POSTERIORI ESTIMATION OF CHANGE-POINTS IN THE EEG

被引:11
作者
BISCAY, R [1 ]
LAVIELLE, M [1 ]
GONZALEZ, A [1 ]
CLARK, I [1 ]
VALDES, P [1 ]
机构
[1] UNIV PARIS 11,F-91405 ORSAY,FRANCE
来源
INTERNATIONAL JOURNAL OF BIO-MEDICAL COMPUTING | 1995年 / 38卷 / 02期
关键词
EEG SEGMENTATION; BRAIN RHYTHMIC; ACTIVITIES; MAXIMUM A POSTERIORI ESTIMATION;
D O I
10.1016/0020-7101(94)01052-3
中图分类号
TP39 [计算机的应用];
学科分类号
081203 ; 0835 ;
摘要
A new approach for EEG segmentation is introduced. This is based on a methodology for optimal segmentation of non-stationary signals derived from the maximum a posteriori estimation principle. It is a model-based, not sequential approach that allows for segmentation at different resolution levels. The features of the methodology are illustrated by its application to EEG recordings containing several types of spectral changes due to normal and pathological variations of spontaneous brain rhythmic activities, as well as physiological artifacts.
引用
收藏
页码:189 / 196
页数:8
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