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

Authors
BISCAY R LAVIELLE M GONZALEZ A CLARK I VALDES P
Citation
R. Biscay et al., MAXIMUM A-POSTERIORI ESTIMATION OF CHANGE-POINTS IN THE EEG, International journal of bio-medical computing, 38(2), 1995, pp. 189-196
Citations number
14
Categorie Soggetti
Mathematical Methods, Biology & Medicine","Engineering, Biomedical","Computer Science Interdisciplinary Applications","Computer Science Theory & Methods
Journal title
International journal of bio-medical computing → ACNP
ISSN journal
00207101
Volume
38
Issue
2
Year of publication
1995
Pages
189 - 196
Database
ISI
SICI code
0020-7101(1995)38:2<189:MAEOCI>2.0.ZU;2-R
Abstract
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-bas ed, 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 brai n rhythmic activities, as well as physiological artifacts.