Time- Frequency based Renyi entropy of heart rate variability for newborn seizure detection

M. B. Malarvili, L. Rankine, M. Mesbah, B. Boashash

نتاج البحث

5 اقتباسات (Scopus)

ملخص

The time-frequency (TF) version of Renyi entropy, which measures the information content and complexity of a signal, is used here as a feature in the classification of the newborn heart rate variability (HRV) as either corresponding to seizure or non-seizure. The newborn HRV is initially mapped to the TF domain using the modified B distribution (MBD). The time-frequency distribution (TFD) of HRV is post-processed before the Renyi entropy is computed. This post-processing method uses an image processing technique called component linking to identify the true HRV components and localize them in the TF plane. The results obtained so far show that the HRV corresponding to non-seizure can be discriminated from those corresponding to seizure using TF-based Renyi entropy with 78.57% sensitivity and 83.33 % specificity.

اللغة الأصليةEnglish
عنوان منشور المضيف2007 9th International Symposium on Signal Processing and its Applications, ISSPA 2007, Proceedings
المعرِّفات الرقمية للأشياء
حالة النشرPublished - 2007
منشور خارجيًانعم
الحدث2007 9th International Symposium on Signal Processing and its Applications, ISSPA 2007 - Sharjah
المدة: فبراير ١٢ ٢٠٠٧فبراير ١٥ ٢٠٠٧

سلسلة المنشورات

الاسم2007 9th International Symposium on Signal Processing and its Applications, ISSPA 2007, Proceedings

Other

Other2007 9th International Symposium on Signal Processing and its Applications, ISSPA 2007
الدولة/الإقليمUnited Arab Emirates
المدينةSharjah
المدة٢/١٢/٠٧٢/١٥/٠٧

ASJC Scopus subject areas

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