Technical Program

Paper Detail

Paper:	SPTM-L7.3
Session:	Time-Frequency Representations: Applications
Time:	Thursday, May 18, 17:10 - 17:30
Presentation:	Lecture
Topic:	Signal Processing Theory and Methods: Non-stationary Signals and Time-Frequency Analysis
Title:	Time-Frequency Distribution Moments of Heart Rate Variability for Neonatal Seizure Detection
Authors:	Malarvili Bala Krishnan, Mostefa Mesbah, Boualem Boashash, Queensland University of Technology, Australia
Abstract:	In this paper, we propose features extracted from the heart rate variability (HRV) based on the first and second conditional moments of time-frequency distribution (TFD) as an additional guide for seizure detection in newborn. The features of HRV in the low frequency band (LF: 0-0.07 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 analysis using the Modified-B distribution (MBD). Results of ongoing time-frequency research are presented. Based on our preliminary results, the first conditional moment of HRV which is also known as the mean/central frequency in the LF band and the second conditional moment of HRV which is also known as the variance / instantaneous bandwidth (IB) in the HF band can be used as a good feature to discriminate the newborn seizure from the non-seizure.