A time-frequency approach for spike detection

QSpace/Manakin Repository

A time-frequency approach for spike detection

Show full item record


Title: A time-frequency approach for spike detection
Author: Hassanpour, H; Mesbah, M; Boashash, B
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.
URI: http://dx.doi.org/10.1109/icecs.2003.1301975
http://hdl.handle.net/10576/10860
Date: 2003

Files in this item

Files Size Format View
Boashash-Hassan ... ECS_tf-spike-detection.pdf 356.8Kb PDF View/Open

This item appears in the following Collection(s)

Show full item record

Search QSpace


Advanced Search

Browse

My Account