title: Enhanced spatio-temporal clustering in the detection of neonatal seizures using context-based rules.
abstract: This work describes the clustering stage of a three-stage automated neonatal seizure detection system. This stage clusters spatio-temporally the short candidate seizure segments detected in prior stages, and then applies a variety of context-based rules to eliminate false detections and determine the final detected seizures. The work discusses important considerations in the implementation of rules and presents preliminary results.
authors.affiliation: Department of Electrical & Computer Engineering, Houston University, TX, USA.
authors.forename: Joyeeta
authors.initials: J
authors.lastname: Mitra
authors.forename: John R
authors.initials: JR
authors.lastname: Glover
authors.forename: James D
authors.initials: JD
authors.lastname: Frost
authors.forename: Periklis A
authors.initials: PA
authors.lastname: Ktonas
authors.forename: Richard A
authors.initials: RA
authors.lastname: Hrachovy
authors.forename: Eli M
authors.initials: EM
authors.lastname: Mizrahi