Detection of neonatal seizure using multiple filters

Khlif, M. S., Mesbah, M., Boashash, B. and Colditz, P. (2010). Detection of neonatal seizure using multiple filters. In: Information Sciences Signal Processing and their Applications (ISSPA), 2010 10th International Conference on. 10th International Conference on Information Science, Signal Processing and their Applications (ISSPA 2010), Kuala Lumpur, Malaysia, (284-287). 10-13 May 2010. doi:10.1109/ISSPA.2010.5605469


Author Khlif, M. S.
Mesbah, M.
Boashash, B.
Colditz, P.
Title of paper Detection of neonatal seizure using multiple filters
Conference name 10th International Conference on Information Science, Signal Processing and their Applications (ISSPA 2010)
Conference location Kuala Lumpur, Malaysia
Conference dates 10-13 May 2010
Proceedings title Information Sciences Signal Processing and their Applications (ISSPA), 2010 10th International Conference on
Journal name 10th International Conference on Information Sciences, Signal Processing and their Applications, ISSPA 2010
Place of Publication Piscataway, NJ, United States
Publisher IEEE
Publication Year 2010
Sub-type Fully published paper
DOI 10.1109/ISSPA.2010.5605469
ISBN 9781424471676
Start page 284
End page 287
Total pages 4
Language eng
Abstract/Summary It is often impossible to accurately differentiate between seizure and non-seizure related activities in irifants based in clinical manifestations alone. The electroencephalogram (EEG) is therefore the best tool available for the recognition, management, and prognosis of neonatal seizures. the EEG signal is known to change structural characteristics between seizure and non-seizure states. In this work, matching pursuit (MP) decomposition. based on a coherent time-frequency (TF) dictionary, has provided us with a measure for quantifYing changes in the structure of the neonatal EEG signal as it alternates between the various states. The quantification of state changes served as the basis for detecting seizures in 35 newborn patients. For each record, a patient-dependent threshold that marks the transition to seizure state is established. The use of multiple filters reduced the amount of artifacts and enhanced the detector performance. Overall, 93.4% detection accuracy and 0.26 false alarms per hour were achieved.
Keyword Seizure
EEG
Newborn
Matching pursuit
Time-frequency
Q-Index Code E1
Q-Index Status Provisional Code
Institutional Status UQ

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Created: Wed, 12 Oct 2011, 16:59:00 EST by Mr Mohamed Khlif on behalf of Perinatal Research Centre