A time-frequency approach for spike detection

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A time-frequency approach for spike detection

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dc.contributor.author Hassanpour, H
dc.contributor.author Mesbah, M
dc.contributor.author Boashash, B
dc.date.accessioned 2012-06-19T05:40:14Z
dc.date.available 2012-06-19T05:40:14Z
dc.date.issued 2003
dc.identifier.citation H. Hassanpour, M. Mesbah, and B. Boashash, "A time-frequency approach for spike detection," in Proc. of the 2003 10th IEEE International Conference on Electronics, Circuits and Systems (ICECS 2003), Sharjah, UAE, December 2003, vol. 1, pp. 56-59 en_US
dc.identifier.uri http://dx.doi.org/10.1109/icecs.2003.1301975
dc.identifier.uri http://hdl.handle.net/10576/10860
dc.description.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 first 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. en_US
dc.language.iso en en_US
dc.publisher IEEE en_US
dc.title A time-frequency approach for spike detection en_US
dc.type Article en_US

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