Detection of seizures in newborns using time-frequency analysis of EEG signals

Boualem Boashash; Helen Carson; Mostefa Mesbah

Detection of seizures in newborns using time-frequency analysis of EEG signals

Boualem Boashash^*, Helen Carson, Mostefa Mesbah

^*Corresponding author for this work

Research output: Contribution to conference › Paper › peer-review

26 Citations (Scopus)

Abstract

This paper presents a time-frequency approach for electroencephalographic (EEG) seizure detection. The proposed method uses the high-resolution reduced interference B time-frequency distribution. An in-depth analysis of the seizure detection techniques of Gotman (frequency domain) and Liu (time domain) has been performed in order to compare with the detection criteria used in the time-frequency domain. Both synthetic and real neo-natal EEG signals have been used for testing.

Original language	English
Pages	564-568
Number of pages	5
Publication status	Published - 2000
Externally published	Yes
Event	Proceedings of the 10th IEEE Workshop on Statiscal and Array Processing - Pennsylvania, PA, USA Duration: Aug 14 2000 → Aug 16 2000

Conference

Conference	Proceedings of the 10th IEEE Workshop on Statiscal and Array Processing
City	Pennsylvania, PA, USA
Period	8/14/00 → 8/16/00

ASJC Scopus subject areas

General Engineering

Cite this

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title = "Detection of seizures in newborns using time-frequency analysis of EEG signals",

abstract = "This paper presents a time-frequency approach for electroencephalographic (EEG) seizure detection. The proposed method uses the high-resolution reduced interference B time-frequency distribution. An in-depth analysis of the seizure detection techniques of Gotman (frequency domain) and Liu (time domain) has been performed in order to compare with the detection criteria used in the time-frequency domain. Both synthetic and real neo-natal EEG signals have been used for testing.",

author = "Boualem Boashash and Helen Carson and Mostefa Mesbah",

year = "2000",

language = "English",

pages = "564--568",

note = "Proceedings of the 10th IEEE Workshop on Statiscal and Array Processing ; Conference date: 14-08-2000 Through 16-08-2000",

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T1 - Detection of seizures in newborns using time-frequency analysis of EEG signals

AU - Boashash, Boualem

AU - Carson, Helen

AU - Mesbah, Mostefa

PY - 2000

Y1 - 2000

N2 - This paper presents a time-frequency approach for electroencephalographic (EEG) seizure detection. The proposed method uses the high-resolution reduced interference B time-frequency distribution. An in-depth analysis of the seizure detection techniques of Gotman (frequency domain) and Liu (time domain) has been performed in order to compare with the detection criteria used in the time-frequency domain. Both synthetic and real neo-natal EEG signals have been used for testing.

AB - This paper presents a time-frequency approach for electroencephalographic (EEG) seizure detection. The proposed method uses the high-resolution reduced interference B time-frequency distribution. An in-depth analysis of the seizure detection techniques of Gotman (frequency domain) and Liu (time domain) has been performed in order to compare with the detection criteria used in the time-frequency domain. Both synthetic and real neo-natal EEG signals have been used for testing.

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M3 - Paper

AN - SCOPUS:0033666742

SP - 564

EP - 568

T2 - Proceedings of the 10th IEEE Workshop on Statiscal and Array Processing

Y2 - 14 August 2000 through 16 August 2000

ER -

Detection of seizures in newborns using time-frequency analysis of EEG signals

Abstract

Conference

ASJC Scopus subject areas

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