PMID: 16623224Apr 21, 2006Paper

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

Australasian Physical & Engineering Sciences in Medicine
M B MalarviliB Boashash

Abstract

The ECG has been much neglected in automatic seizure detection in the newborn. Changes in heart rate and ECG rhythm are often found in animal and adult patients with seizure. However, little is known about heart rate variability (HRV) changes in human neonate during seizure. Results of ongoing time-frequency research are presented here with the aim to compare the performance of various time-frequency distributions (TFDs) when applied to HRV time series for non-seizure and seizure newborns. The TFDs studied are the Wigner-Ville (WVD), the Spectrogram (SP), the Choi-Williams (CWD) and the Modified B (MBD) distributions. Based on our preliminary results, our current conclusion is MBD outperforms other TFDs in terms of time-frequency resolution, cross-terms suppression and to represent the newborn HRV signals of non-seizure and seizure which are closely-spaced components in the time-frequency domain.

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Citations

May 4, 2010·Journal of Medical Systems·Suleyman BilginEtem Koklukaya
Mar 11, 2010·Medical & Biological Engineering & Computing·Carlos Guerrero-MosqueraAngel Navia-Vázquez
Nov 26, 2013·Medical & Biological Engineering & Computing·Shiying DongPaul B Colditz
Jan 16, 2007·Medical & Biological Engineering & Computing·L RankineB Boashash
Jul 3, 2010·Medical Engineering & Physics·O M DoyleG B Boylan
Jul 11, 2009·Physiological Measurement·O M DoyleG B Boylan

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