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

M. B. Malarvili, Mostefa Mesbah, Boualem Boashash

Research output: Contribution to journalArticle

7 Citations (Scopus)

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.

Original languageEnglish
Pages (from-to)67-72
Number of pages6
JournalAustralasian Physical and Engineering Sciences in Medicine
Volume29
Issue number1
Publication statusPublished - Mar 2006

Fingerprint

Seizures
Heart Rate
Electrocardiography
Newborn Infant
Time series
Animals
Research

Keywords

  • Heart rate variability (HRV)
  • Newborn seizure detection
  • Time-frequency distributions (TFDs)

ASJC Scopus subject areas

  • Biophysics
  • Biomedical Engineering
  • Radiology Nuclear Medicine and imaging

Cite this

Time-frequency analysis of heart rate variability for neonatal seizure detection. / Malarvili, M. B.; Mesbah, Mostefa; Boashash, Boualem.

In: Australasian Physical and Engineering Sciences in Medicine, Vol. 29, No. 1, 03.2006, p. 67-72.

Research output: Contribution to journalArticle

@article{c354eb2540c34fc290a399a218eb9787,
title = "Time-frequency analysis of heart rate variability for neonatal seizure detection",
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.",
keywords = "Heart rate variability (HRV), Newborn seizure detection, Time-frequency distributions (TFDs)",
author = "Malarvili, {M. B.} and Mostefa Mesbah and Boualem Boashash",
year = "2006",
month = "3",
language = "English",
volume = "29",
pages = "67--72",
journal = "Australasian Physical and Engineering Sciences in Medicine",
issn = "0158-9938",
publisher = "Springer Netherlands",
number = "1",

}

TY - JOUR

T1 - Time-frequency analysis of heart rate variability for neonatal seizure detection

AU - Malarvili, M. B.

AU - Mesbah, Mostefa

AU - Boashash, Boualem

PY - 2006/3

Y1 - 2006/3

N2 - 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.

AB - 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.

KW - Heart rate variability (HRV)

KW - Newborn seizure detection

KW - Time-frequency distributions (TFDs)

UR - http://www.scopus.com/inward/record.url?scp=33645821926&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=33645821926&partnerID=8YFLogxK

M3 - Article

C2 - 16623224

AN - SCOPUS:33645821926

VL - 29

SP - 67

EP - 72

JO - Australasian Physical and Engineering Sciences in Medicine

JF - Australasian Physical and Engineering Sciences in Medicine

SN - 0158-9938

IS - 1

ER -