Title :
Attribute ranking for lateralizing focal epileptogenicity in temporal lobe epilepsy
Author :
Fakhraei, Shobeir ; Soltanian-Zadeh, Hamid ; Elisevich, Kost ; Fotouhi, Farshad
Abstract :
A consensus feature-ranking approach has been applied to the study of localization-related temporal lobe epilepsy (TLE) in order to evaluate the relative discriminative power of individual attributes. Cases were selected on the basis of a postoperative outcome free of disabling seizures (i.e., Engel class I) in order to establish a definitive laterality of focal epileptogenicity. Several quantitative measures made available by imaging and electrographic studies are considered and the most discriminative of these are quantitatively prioritized for the lateralization of focal epileptogenicity. Cases requiring extraoperative electrocorticography were examined as a subgroup to establish whether the current method of analysis could distinguish laterality sufficiently well to avoid the requirement for intracranial electrode implantation.
Keywords :
biomedical electrodes; data mining; electroencephalography; learning (artificial intelligence); medical disorders; medical signal processing; neurophysiology; Engel class I; attribute ranking; disabling seizures; electrographic studies; extraoperative electrocorticography; feature ranking approach; focal epileptogenicity; intracranial electrode implantation; localization-related temporal lobe epilepsy; Data mining; Electroencephalography; Epilepsy; Medical diagnostic imaging; Temporal lobe; data mining; feature ranking; lateralization; machine learning; temporal lobe epilepsy;
Conference_Titel :
Biomedical Engineering (ICBME), 2010 17th Iranian Conference of
Conference_Location :
Isfahan
Print_ISBN :
978-1-4244-7483-7
DOI :
10.1109/ICBME.2010.5705029