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 £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 language | English |
|---|---|
| Title of host publication | ICECS 2003 - Proceedings of the 2003 10th IEEE International Conference on Electronics, Circuits and Systems |
| Pages | 56-59 |
| Number of pages | 4 |
| Volume | 1 |
| DOIs | |
| Publication status | Published - 2003 |
| Event | 2003 10th IEEE International Conference on Electronics, Circuits and Systems, ICECS2003 - Sharjah, United Arab Emirates Duration: Dec 14 2003 → Dec 17 2003 |
Other
| Other | 2003 10th IEEE International Conference on Electronics, Circuits and Systems, ICECS2003 |
|---|---|
| Country | United Arab Emirates |
| City | Sharjah |
| Period | 12/14/03 → 12/17/03 |
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ASJC Scopus subject areas
- Electrical and Electronic Engineering
Cite this
A time-frequency approach for spike detection. / Hassanpour, Hamid; Mesbah, Mostefa; Boashash, Boualem.
ICECS 2003 - Proceedings of the 2003 10th IEEE International Conference on Electronics, Circuits and Systems. Vol. 1 2003. p. 56-59 1301975.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
}
TY - GEN
T1 - A time-frequency approach for spike detection
AU - Hassanpour, Hamid
AU - Mesbah, Mostefa
AU - Boashash, Boualem
PY - 2003
Y1 - 2003
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=4344660513&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=4344660513&partnerID=8YFLogxK
U2 - 10.1109/ICECS.2003.1301975
DO - 10.1109/ICECS.2003.1301975
M3 - Conference contribution
AN - SCOPUS:4344660513
SN - 0780381637
SN - 9780780381636
VL - 1
SP - 56
EP - 59
BT - ICECS 2003 - Proceedings of the 2003 10th IEEE International Conference on Electronics, Circuits and Systems
ER -