Báo cáo hóa học: " Research Article Time-Frequency Analysis of Heart Rate Variability for Neonatal Seizure Detection"

Tuyển tập báo cáo các nghiên cứu khoa học quốc tế ngành hóa học dành cho các bạn yêu hóa học tham khảo đề tài: Research Article Time-Frequency Analysis of Heart Rate Variability for Neonatal Seizure Detection | Hindawi Publishing Corporation EURASIP Journal on Advances in Signal Processing Volume 2007 Article ID 50396 10 pages doi 2007 50396 Research Article Time-Frequency Analysis of Heart Rate Variability for Neonatal Seizure Detection M. B. Malarvili 1 Mostefa Mesbah 1 and Boualem Boashash1 2 1 Perinatal Research Centre School of Medicine University of Queensland Herston QLD 4029 Australia 2 Signal Processing Research Center Department of Electrical and Computer Engineering College of Engineering University of Sharjah P O. Box 27272 Sharjah United Arab Emirates Received 1 May 2006 Revised 29 January 2007 Accepted 2 February 2007 Recommended by Pablo Laguna Lasaosa 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 Hz mid-frequency band MF Hz and high-frequency band HF Hz have been obtained by means of the timefrequency 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. Copyright 2007 M. B. Malarvili et al. This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use distribution and reproduction in any medium provided the original work is properly cited. 1. .

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