title: Correlation-based alignment of multichannel signals and application to paroxysmal events.
abstract: We propose a new group-theoretical approach to the problem of alignment of time events in multichannel signal recordings. Such an alignment is an essential phase in the classification of transients in electroencephalogram/magnetoencephalogram (MEG) signals. A common reference frame is reconstructed applying a time translation transformation based on delayed mutual correlation functions of the individual events. The method is applied to MEG data sets recorded from epileptic patients showing paroxysmal interictal discharges.
authors.affiliation: Dutch Epilepsy Clinics Foundation, Heemstede, The Netherlands. skalitzin@sein.nl
authors.forename: Stiliyan
authors.initials: S
authors.lastname: Kalitzin
authors.forename: Wojciech
authors.initials: W
authors.lastname: Zbijewski
authors.forename: Jaime
authors.initials: J
authors.lastname: Parra
authors.forename: Demetrios
authors.initials: D
authors.lastname: Velis
authors.forename: Ilonka
authors.initials: I
authors.lastname: Manshanden
authors.forename: Fernando Lopes
authors.initials: FL
authors.lastname: da Silva
mesh_terms: D000465:Algorithms; D002648:Child; D004569:Electroencephalography / Q000379:methods; D004829:Epilepsy, Generalized / Q000175:diagnosis*; D005260:Female; D006801:Humans; D015225:Magnetoencephalography / Q000379:methods*; D008959:Models, Neurological; D015233:Models, Statistical; D015203:Reproducibility of Results; D012680:Sensitivity and Specificity; D013997:Time Factors