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Interictal Epileptic Activity Rate in Relation with Seizure Occurrence and Sleep Stages: A Stereo-EEG Study
Author(s) -
Mamadou Ndiaye,
Idy Diop,
Abdoul Karim Mbodji
Publication year - 2014
Publication title -
procedia computer science
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.334
H-Index - 76
ISSN - 1877-0509
DOI - 10.1016/j.procs.2014.09.027
Subject(s) - ictal , computer science , electroencephalography , spike (software development) , epilepsy , representation (politics) , sleep (system call) , artificial intelligence , neuroscience , pattern recognition (psychology) , psychology , software engineering , politics , political science , law , operating system
This paper presents a distributed and parallel approach for interictal spike analysis. Firstly, it allows a distributed real-time application designer to specify the desired temporal behaviour of a system, Secondly, it presents a local and global representation of interictal spike distribution for various states of patients. Thirdly it measures the relationship between interictal spikes (IS) and ictal discharges in human drug-resistant partial epilepsy. These results indicate that an analysis of sleep induced changes in depth spike activity can be useful in improving predictions concerning epileptogenicity

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