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 proceedingConference contribution

4 Citations (Scopus)


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 languageEnglish
Title of host publicationICECS 2003 - Proceedings of the 2003 10th IEEE International Conference on Electronics, Circuits and Systems
Number of pages4
Publication statusPublished - 2003
Externally publishedYes
Event2003 10th IEEE International Conference on Electronics, Circuits and Systems, ICECS2003 - Sharjah, United Arab Emirates
Duration: Dec 14 2003Dec 17 2003

Publication series

NameProceedings of the IEEE International Conference on Electronics, Circuits, and Systems


Other2003 10th IEEE International Conference on Electronics, Circuits and Systems, ICECS2003
Country/TerritoryUnited Arab Emirates

ASJC Scopus subject areas

  • Electrical and Electronic Engineering


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