Detection of neonatal seizure using multiple filters

M. S. Khlif, M. Mesbah, B. Boashashl, P. Colditz

نتاج البحث

2 اقتباسات (Scopus)

ملخص

It is often impossible to accurately differentiate between seizure and non-seizure related activities in irifants based on 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.

اللغة الأصليةEnglish
عنوان منشور المضيف10th International Conference on Information Sciences, Signal Processing and their Applications, ISSPA 2010
الصفحات284-287
عدد الصفحات4
المعرِّفات الرقمية للأشياء
حالة النشرPublished - 2010
منشور خارجيًانعم
الحدث10th International Conference on Information Sciences, Signal Processing and their Applications, ISSPA 2010 - Kuala Lumpur
المدة: مايو ١٠ ٢٠١٠مايو ١٣ ٢٠١٠

سلسلة المنشورات

الاسم10th International Conference on Information Sciences, Signal Processing and their Applications, ISSPA 2010

Other

Other10th International Conference on Information Sciences, Signal Processing and their Applications, ISSPA 2010
الدولة/الإقليمMalaysia
المدينةKuala Lumpur
المدة٥/١٠/١٠٥/١٣/١٠

ASJC Scopus subject areas

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