A time-frequency approach for spike detection

Hamid Hassanpour; Mostefa Mesbah; Boualem Boashash

doi:10.1109/ICECS.2003.1301975

A time-frequency approach for spike detection

Hamid Hassanpour^*, Mostefa Mesbah, Boualem Boashash

^*Corresponding author for this work

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

4 Citations (Scopus)

Abstract

This paper presents a new time-frequency based spike detection technique. As spikes are broadband events with high instantaneous energy, they tend to have a larger energy than the background at high frequencies. To detect spikes, the time-frequency distribution of the signal of interest is £rst enhanced to attenuate the noise. Two frequency slices of the enhanced time-frequency distribution are then extracted and subjected to the smoothed nonlinear energy operator (SNEO). Finally, the output of the SNEO is thresholded to localise the position of the spikes in the signal. The SNEO is employed to accentuate the spike signature in the extracted frequency slices. A spike is considered to exist in the time domain signal if a signature of the spike is detected at the same position in both frequency slices. The performance of the proposed method is evaluated using both synthetic and newborn electroencephalogram (EEG) signals.

Original language	English
Title of host publication	ICECS 2003 - Proceedings of the 2003 10th IEEE International Conference on Electronics, Circuits and Systems
Pages	56-59
Number of pages	4
DOIs	https://doi.org/10.1109/ICECS.2003.1301975
Publication status	Published - 2003
Externally published	Yes
Event	2003 10th IEEE International Conference on Electronics, Circuits and Systems, ICECS2003 - Sharjah, United Arab Emirates Duration: Dec 14 2003 → Dec 17 2003

Publication series

Name	Proceedings of the IEEE International Conference on Electronics, Circuits, and Systems
Volume	1

Other

Other	2003 10th IEEE International Conference on Electronics, Circuits and Systems, ICECS2003
Country/Territory	United Arab Emirates
City	Sharjah
Period	12/14/03 → 12/17/03

ASJC Scopus subject areas

Electrical and Electronic Engineering

Access to Document

10.1109/ICECS.2003.1301975

Cite this

Hassanpour, H., Mesbah, M., & Boashash, B. (2003). A time-frequency approach for spike detection. In ICECS 2003 - Proceedings of the 2003 10th IEEE International Conference on Electronics, Circuits and Systems (pp. 56-59). Article 1301975 (Proceedings of the IEEE International Conference on Electronics, Circuits, and Systems; Vol. 1). https://doi.org/10.1109/ICECS.2003.1301975

A time-frequency approach for spike detection. / Hassanpour, Hamid; Mesbah, Mostefa; Boashash, Boualem.
ICECS 2003 - Proceedings of the 2003 10th IEEE International Conference on Electronics, Circuits and Systems. 2003. p. 56-59 1301975 (Proceedings of the IEEE International Conference on Electronics, Circuits, and Systems; Vol. 1).

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

Hassanpour, H, Mesbah, M & Boashash, B 2003, A time-frequency approach for spike detection. in ICECS 2003 - Proceedings of the 2003 10th IEEE International Conference on Electronics, Circuits and Systems., 1301975, Proceedings of the IEEE International Conference on Electronics, Circuits, and Systems, vol. 1, pp. 56-59, 2003 10th IEEE International Conference on Electronics, Circuits and Systems, ICECS2003, Sharjah, United Arab Emirates, 12/14/03. https://doi.org/10.1109/ICECS.2003.1301975

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note = "2003 10th IEEE International Conference on Electronics, Circuits and Systems, ICECS2003 ; Conference date: 14-12-2003 Through 17-12-2003",

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AB - This paper presents a new time-frequency based spike detection technique. As spikes are broadband events with high instantaneous energy, they tend to have a larger energy than the background at high frequencies. To detect spikes, the time-frequency distribution of the signal of interest is £rst enhanced to attenuate the noise. Two frequency slices of the enhanced time-frequency distribution are then extracted and subjected to the smoothed nonlinear energy operator (SNEO). Finally, the output of the SNEO is thresholded to localise the position of the spikes in the signal. The SNEO is employed to accentuate the spike signature in the extracted frequency slices. A spike is considered to exist in the time domain signal if a signature of the spike is detected at the same position in both frequency slices. The performance of the proposed method is evaluated using both synthetic and newborn electroencephalogram (EEG) signals.

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A time-frequency approach for spike detection

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