Neonates' EEG spike detection using a time-frequency approach

Pega Zarjam; Ghasem Azemi; Boualem Boashash

doi:10.1109/ISSPA.2005.1580226

Neonates' EEG spike detection using a time-frequency approach

Pega Zarjam, Ghasem Azemi, Boualem Boashash

Research output: Chapter in Book/Report/Conference proceeding › Conference proceeding contribution › peer-review

1 Citation (Scopus)

Abstract

This paper proposes a new time-frequency (TF) based approach for detecting spikes in newborns’ EEG signals. Since the automated detection of spikes in the
EEG is an important deal in the diagnosis of epilepsy and is a goal sought by many researchers. In the proposed method, first a TF representation of the EEG
epoch is computed and then its average over all frequencies is used to distinguish between the EEG spikes and the background. The method is used in conjunction with a few time-frequency distributions (TFDs) to detect spikes in the EEG signals acquired from 5 neonates, with ages ranging from two days to two weeks. The obtained results show that the short-time Fourier transform (STFT) outperforms the other TFDs with the average detection rate of 96%.

Original language	English
Title of host publication	Proceedings of the eighth International Symposium on Signal Processing and its Applications, ISSPA 2005
Place of Publication	Sydney
Publisher	Institute of Electrical and Electronics Engineers (IEEE)
Number of pages	4
ISBN (Print)	0780392434
DOIs	https://doi.org/10.1109/ISSPA.2005.1580226
Publication status	Published - 2005
Externally published	Yes
Event	8th International Symposium on Signal Processing and its Applications, ISSPA - 2005 - Sydney, Australia Duration: 28 Aug 2005 → 31 Aug 2005

Other

Other	8th International Symposium on Signal Processing and its Applications, ISSPA - 2005
Country/Territory	Australia
City	Sydney
Period	28/08/05 → 31/08/05

Access to Document

10.1109/ISSPA.2005.1580226

Cite this

@inproceedings{a10a22686fce4c4099a76fdff82f9f13,

title = "Neonates' EEG spike detection using a time-frequency approach",

abstract = "This paper proposes a new time-frequency (TF) based approach for detecting spikes in newborns{\textquoteright} EEG signals. Since the automated detection of spikes in theEEG is an important deal in the diagnosis of epilepsy and is a goal sought by many researchers. In the proposed method, first a TF representation of the EEGepoch is computed and then its average over all frequencies is used to distinguish between the EEG spikes and the background. The method is used in conjunction with a few time-frequency distributions (TFDs) to detect spikes in the EEG signals acquired from 5 neonates, with ages ranging from two days to two weeks. The obtained results show that the short-time Fourier transform (STFT) outperforms the other TFDs with the average detection rate of 96%.",

author = "Pega Zarjam and Ghasem Azemi and Boualem Boashash",

year = "2005",

doi = "10.1109/ISSPA.2005.1580226",

language = "English",

isbn = "0780392434",

booktitle = "Proceedings of the eighth International Symposium on Signal Processing and its Applications, ISSPA 2005",

publisher = "Institute of Electrical and Electronics Engineers (IEEE)",

address = "United States",

note = "8th International Symposium on Signal Processing and its Applications, ISSPA - 2005 ; Conference date: 28-08-2005 Through 31-08-2005",

}

Zarjam, P, Azemi, G & Boashash, B 2005, Neonates' EEG spike detection using a time-frequency approach. in Proceedings of the eighth International Symposium on Signal Processing and its Applications, ISSPA 2005. Institute of Electrical and Electronics Engineers (IEEE), Sydney, 8th International Symposium on Signal Processing and its Applications, ISSPA - 2005, Sydney, New South Wales, Australia, 28/08/05. https://doi.org/10.1109/ISSPA.2005.1580226

Neonates' EEG spike detection using a time-frequency approach. / Zarjam, Pega; Azemi, Ghasem; Boashash, Boualem.
Proceedings of the eighth International Symposium on Signal Processing and its Applications, ISSPA 2005. Sydney: Institute of Electrical and Electronics Engineers (IEEE), 2005.

Research output: Chapter in Book/Report/Conference proceeding › Conference proceeding contribution › peer-review

TY - GEN

T1 - Neonates' EEG spike detection using a time-frequency approach

AU - Zarjam, Pega

AU - Azemi, Ghasem

AU - Boashash, Boualem

PY - 2005

Y1 - 2005

N2 - This paper proposes a new time-frequency (TF) based approach for detecting spikes in newborns’ EEG signals. Since the automated detection of spikes in theEEG is an important deal in the diagnosis of epilepsy and is a goal sought by many researchers. In the proposed method, first a TF representation of the EEGepoch is computed and then its average over all frequencies is used to distinguish between the EEG spikes and the background. The method is used in conjunction with a few time-frequency distributions (TFDs) to detect spikes in the EEG signals acquired from 5 neonates, with ages ranging from two days to two weeks. The obtained results show that the short-time Fourier transform (STFT) outperforms the other TFDs with the average detection rate of 96%.

AB - This paper proposes a new time-frequency (TF) based approach for detecting spikes in newborns’ EEG signals. Since the automated detection of spikes in theEEG is an important deal in the diagnosis of epilepsy and is a goal sought by many researchers. In the proposed method, first a TF representation of the EEGepoch is computed and then its average over all frequencies is used to distinguish between the EEG spikes and the background. The method is used in conjunction with a few time-frequency distributions (TFDs) to detect spikes in the EEG signals acquired from 5 neonates, with ages ranging from two days to two weeks. The obtained results show that the short-time Fourier transform (STFT) outperforms the other TFDs with the average detection rate of 96%.

UR - http://www.scopus.com/inward/record.url?eid=2-s2.0-33847091673&partnerID=MN8TOARS

U2 - 10.1109/ISSPA.2005.1580226

DO - 10.1109/ISSPA.2005.1580226

M3 - Conference proceeding contribution

SN - 0780392434

BT - Proceedings of the eighth International Symposium on Signal Processing and its Applications, ISSPA 2005

PB - Institute of Electrical and Electronics Engineers (IEEE)

CY - Sydney

T2 - 8th International Symposium on Signal Processing and its Applications, ISSPA - 2005

Y2 - 28 August 2005 through 31 August 2005

ER -

Neonates' EEG spike detection using a time-frequency approach

Abstract

Other

Access to Document

Other files and links

Fingerprint

Cite this