A feature set for EEG seizure detection in the newborn based on seizure and background charactersitics

N. Stevenson*, M. Mesbah, B. Boashash

*المؤلف المقابل لهذا العمل

نتاج البحث

2 اقتباسات (Scopus)

ملخص

This paper presents a set of four features to be used in the detection of seizure in the electroencephalograms (EEGs) of newborns. The features are designed with the aid of recent advances in modelling of the newborn EEG. The performance of the features is analysed with a database of 500 epochs of newborn EEG (250 background/250 seizure). The covariance of the features is also analysed to indicate the redundancy of the feature set. The results show significant differences in the features between seizure and background EEG. The covariance between the features suggests that there is little redundant information between the features.

اللغة الأصليةEnglish
عنوان منشور المضيف29th Annual International Conference of IEEE-EMBS, Engineering in Medicine and Biology Society, EMBC'07
الصفحات7-10
عدد الصفحات4
المعرِّفات الرقمية للأشياء
حالة النشرPublished - 2007
منشور خارجيًانعم
الحدث29th Annual International Conference of IEEE-EMBS, Engineering in Medicine and Biology Society, EMBC'07 - Lyon
المدة: أغسطس ٢٣ ٢٠٠٧أغسطس ٢٦ ٢٠٠٧

سلسلة المنشورات

الاسمAnnual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings
رقم المعيار الدولي للدوريات (المطبوع)0589-1019

Other

Other29th Annual International Conference of IEEE-EMBS, Engineering in Medicine and Biology Society, EMBC'07
الدولة/الإقليمFrance
المدينةLyon
المدة٨/٢٣/٠٧٨/٢٦/٠٧

ASJC Scopus subject areas

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  • ???subjectarea.asjc.2200.2204???
  • ???subjectarea.asjc.1700.1707???
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