A time-frequency approach for spike detection

Hassanpour, Hamid, Mesbah, Mostefa and Boashash, Boualem (2003). A time-frequency approach for spike detection. In: Proceedings of the 2003 10th IEEE International Conference on Electronics, Circuits and Systems (ICECS 2003). 10th International Conference on Electronics, Circuits, and Systems (ICECS 2003), University of Sharjah, Sharjah, United Arab Emirates, (56-59). 14-17 December 2003. doi:10.1109/ICECS.2003.1301975


Author Hassanpour, Hamid
Mesbah, Mostefa
Boashash, Boualem
Title of paper A time-frequency approach for spike detection
Conference name 10th International Conference on Electronics, Circuits, and Systems (ICECS 2003)
Conference location University of Sharjah, Sharjah, United Arab Emirates
Conference dates 14-17 December 2003
Convener Institute of Electrical and Electronic Engineers (IEEE)
Proceedings title Proceedings of the 2003 10th IEEE International Conference on Electronics, Circuits and Systems (ICECS 2003)
Journal name Icecs 2003: Proceedings of the 2003 10th Ieee International Conference On Electronics, Circuits and Systems, Vols 1-3
Place of Publication Piscataway, NJ, U.S.A.
Publisher IEEE
Publication Year 2003
Year available 2003
Sub-type Fully published paper
DOI 10.1109/ICECS.2003.1301975
Open Access Status
ISBN 0-7803-8163-7
Volume 1
Start page 56
End page 59
Total pages 4
Language eng
Abstract/Summary 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.
Subjects 090609 Signal Processing
0906 Electrical and Electronic Engineering
Keyword Biomedical measurement
Electroencephalography
Interference suppression
Medical signal detection
Medical signal processing
Time-frequency analysis
Q-Index Code E1
Q-Index Status Provisional Code
Institutional Status Unknown

Document type: Conference Paper
Sub-type: Fully published paper
Collections: Excellence in Research Australia (ERA) - Collection
UQ Centre for Clinical Research Publications
 
Versions
Version Filter Type
Citation counts: TR Web of Science Citation Count  Cited 1 times in Thomson Reuters Web of Science Article | Citations
Scopus Citation Count Cited 4 times in Scopus Article | Citations
Google Scholar Search Google Scholar
Created: Mon, 30 Mar 2009, 20:12:29 EST by Mary-Anne Marrington on behalf of Faculty Of Health Sciences