Time-frequency analysis of heart rate variability for neonatal seizure detection

M. B. Malarvili*, Mostefa Mesbah, Boualem Boashash

*المؤلف المقابل لهذا العمل

نتاج البحث: المساهمة في مجلةمراجعة النظراء

30 اقتباسات (Scopus)

ملخص

There are a number of automatic techniques available for detecting epileptic seizures using solely electroencephalogram (EEG), which has been the primary diagnosis tool in newborns. The electrocardiogram (ECG) has been much neglected in automatic seizure detection. Changes in heart rate and ECG rhythm were previously linked to seizure in case of adult humans and animals. However, little is known about heart rate variability (HRV) changes in human neonate during seizure. In this paper, we assess the suitability of HRV as a tool for seizure detection in newborns. The features of HRV in the low-frequency band (LF: 0.03-0.07 Hz), mid-frequency band (MF: 0.07-0.15 Hz), and high-frequency band (HF: 0.15-0.6 Hz) have been obtained by means of the time-frequency distribution (TFD). Results of ongoing time-frequency (TF) research are presented. Based on our preliminary results, the first conditional moment of HRV which is the mean/central frequency in the LF band and the variance in the HF band can be used as a good feature to discriminate the newborn seizure from the nonseizure.

اللغة الأصليةEnglish
رقم المقال50396
دوريةEurasip Journal on Advances in Signal Processing
مستوى الصوت2007
المعرِّفات الرقمية للأشياء
حالة النشرPublished - 2007
منشور خارجيًانعم

ASJC Scopus subject areas

  • ???subjectarea.asjc.1700.1711???
  • ???subjectarea.asjc.1700.1708???
  • ???subjectarea.asjc.2200.2208???

بصمة

أدرس بدقة موضوعات البحث “Time-frequency analysis of heart rate variability for neonatal seizure detection'. فهما يشكلان معًا بصمة فريدة.

قم بذكر هذا