Neonatal seizure detection and localization using time-frequency analysis of multichannel EEG

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

نتاج البحث

2 اقتباسات (Scopus)

ملخص

Contrarily to adults and older children, the clinical signs of seizure in newborns are either subtle or occult. For this reason, the electroencephalogram (EEG) has been the most dependable tool used for detecting seizures in newborns. Given nonstationary and multicomponent EEG signals, time-frequency (TF) based methods were found to be very suitable for the analysis of such signals. The TF domain techniques are utilized to extract TF signatures that are characteristic of EEG seizures. In this paper, multichannel EEG signals are processed using a TF matched filter to detect and to geometrically localize neonatal EEG seizures. The threshold used to distinguish between seizure and nonseizure is data-dependent and is set using the EEG background. Multichannel geometrical correlation, based on a concept of incidence matrix, was utilized to further enhance the performance of the detector.

اللغة الأصليةEnglish
عنوان منشور المضيفICSPC 2007 Proceedings - 2007 IEEE International Conference on Signal Processing and Communications
الصفحات1567-1570
عدد الصفحات4
المعرِّفات الرقمية للأشياء
حالة النشرPublished - 2007
منشور خارجيًانعم
الحدث2007 IEEE International Conference on Signal Processing and Communications, ICSPC 2007 - Dubai
المدة: نوفمبر ١٤ ٢٠٠٧نوفمبر ٢٧ ٢٠٠٧

سلسلة المنشورات

الاسمICSPC 2007 Proceedings - 2007 IEEE International Conference on Signal Processing and Communications

Other

Other2007 IEEE International Conference on Signal Processing and Communications, ICSPC 2007
الدولة/الإقليمUnited Arab Emirates
المدينةDubai
المدة١١/١٤/٠٧١١/٢٧/٠٧

ASJC Scopus subject areas

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  • ???subjectarea.asjc.3300.3315???

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