Enhanced spatio-temporal clustering in the detection of neonatal seizures using context-based rules

Author

Mitra, Joyeeta ; Glover, John R. ; Ktonas, Periklis Y. ; Frost, James D., Jr. ; Hrachovy, Richard A. ; Mizrahi, Eli M.

Author_Institution

Dept. of Electr. & Comput. Eng., Houston Univ., TX, USA

Volume

2

fYear

2004

fDate

1-5 Sept. 2004

Firstpage

4717

Lastpage

4720

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.

Keywords

bioelectric phenomena; electroencephalography; medical signal detection; medical signal processing; paediatrics; pattern clustering; spatiotemporal phenomena; context-based rules; enhanced spatiotemporal clustering; three-stage automated neonatal seizure detection; Clustering algorithms; Data analysis; Detection algorithms; Educational institutions; Frequency; Morphology; Nervous system; Neurophysiology; Pattern analysis; Pediatrics; Clustering; EEG; neonatal seizure; spatio-temporal analysis;

fLanguage

English

Publisher

ieee

Conference_Titel

Engineering in Medicine and Biology Society, 2004. IEMBS '04. 26th Annual International Conference of the IEEE

Conference_Location

San Francisco, CA

Print_ISBN

0-7803-8439-3

Type

conf

DOI

10.1109/IEMBS.2004.1404306

Filename

1404306