title: Extracting the spike process from the EEG by spatially constrained ICA.
abstract: Epileptic patients often show interictal epileptic discharges (IED's) in the electroencephalogram (EEG) recorded between seizures. This epileptiform activity is in many cases related to the location of the seizure onset, and is believed to reflect the frequency of the seizures. We present a fully automated technique that is able to extract the IED's from the EEG, despite the obscuring artifacts. The presented technique is based on a multi-objective optimization by maximizing the signal's kurtosis and minimizing its distance to a defined template. Preliminary results show that this technique automatically extracts a source on which spike detection techniques should perform better than on the regular channel selection procedure.
authors.affiliation: Faculty of Engineering, Department of Electronics & Information Systems, Medical Image and Signal Processing, Ghent University, Belgium. ronald.phlypo@ugent.be
authors.forename: Ronald
authors.initials: R
authors.lastname: Phlypo
authors.forename: Peter
authors.initials: P
authors.lastname: Van Hese
authors.forename: Hans
authors.initials: H
authors.lastname: Hallez
authors.forename: Paul
authors.initials: P
authors.lastname: Boon
authors.forename: Rik
authors.initials: R
authors.lastname: Van de Walle
authors.forename: Yves
authors.initials: Y
authors.lastname: D'Asseler
authors.forename: Ignace
authors.initials: I
authors.lastname: Lamhieu
mesh_terms: D000465:Algorithms; D001331:Automation; D001931:Brain Mapping; D003201:Computers; D004569:Electroencephalography / Q000295:instrumentation* / Q000379:methods*; D001330:Electronic Data Processing; D004827:Epilepsy / Q000175:diagnosis*; D005133:Eye Movements; D006801:Humans; D015233:Models, Statistical; D015203:Reproducibility of Results; D012640:Seizures / Q000175:diagnosis*; D012815:Signal Processing, Computer-Assisted; D012984:Software