Technical Program

Paper Detail

Session:Biomedical and biometric applications
Time:Friday, May 21, 15:30 - 17:30
Presentation: Poster
Topic: Industry Technology Track: Biomedical
Authors: Hamid Hassanpour; Queensland University of Technology 
 Mostefa Mesbah; Queensland University of Technology 
 Boualem Boashash; Queensland University of Technology 
Abstract: This paper presents a new method for detecting EEG spikes. The method is based on the time-frequency distribution of the signal. As spikes are short time broadband events, they are represented as ridges in the time-frequency domain. In this domain, the high instantaneous energy of spikes allows them to be distinguishable from the background. 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.

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