Title
Introducing Spatio-Temporal Reasoning Into The Inverse Problem In Electroencephalography
Abstract
Studying the Brain's Electrical and Magnetic Signals (BEMS) requires the contribution of many areas of research that include anatomy, neurophysiology and electromagnetic theory, NEUROLAB isa framework dedicated to the study of brain disorders, Upon completion, it should provide users with an intelligent computational environment that incorporates qualitative and quantitative models of the brain and head, and a model for representing and reasoning about time and space, Spatio-temporal knowledge of a given problem is represented as a constraint network where to each node of the network are attached temporal and spatial variables that must satisfy the constraints defined by the are labels connecting the nodes. In this paper, we show how temporal reasoning can be combined with spatial descriptions to produce different scenarios of possible seizure spread. These scenarios can provide a priori information for the inverse problem, the role of which is to localise the sources of the observed BEMS.
Year
DOI
Venue
1996
10.1016/0933-3657(95)00028-3
ARTIFICIAL INTELLIGENCE IN MEDICINE
Keywords
Field
DocType
spatio-temporal reasoning, constraint propagation networks, model-based diagnosis, electroencephalography, forward and inverse problems
Data mining,Neurophysiology,Computer science,Expert system,A priori and a posteriori,Spacetime,Artificial intelligence,Inverse problem,Time perception,Reasoning system,Electroencephalography,Machine learning
Journal
Volume
Issue
ISSN
8
2
0933-3657
Citations 
PageRank 
References 
2
0.38
9
Authors
2
Name
Order
Citations
PageRank
Pridi Siregar1286.15
Jean-paul Sinteff2102.99