Abstract
In this paper, we propose a novel method of simulating normal newborn EEG. The method is based on the results from the fractal dimension analysis of real EEG recordings. The fractal dimension analysis was done using the Higuchi method for fractal dimension estimation. Comparison of signals in the time domain, frequency domain and time-frequency domain between real and simulated signals show similarities validating the EEG simulator. This model can provide artefact free EEG signals for researchers so that algorithm parameters can be tuned or so that automatic EEG detection algorithms, such as seizure detection and epileptic spike detection, can be evaluated.
| Original language | English |
|---|---|
| Title of host publication | Proceedings - 8th International Symposium on Signal Processing and its Applications, ISSPA 2005 |
| Pages | 191-194 |
| Number of pages | 4 |
| Volume | 1 |
| DOIs | |
| Publication status | Published - 2005 |
| Event | 8th International Symposium on Signal Processing and its Applications, ISSPA 2005 - Sydney, Australia Duration: Aug 28 2005 → Aug 31 2005 |
Other
| Other | 8th International Symposium on Signal Processing and its Applications, ISSPA 2005 |
|---|---|
| Country | Australia |
| City | Sydney |
| Period | 8/28/05 → 8/31/05 |
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ASJC Scopus subject areas
- Engineering(all)
Cite this
Newborn EEG simulation from nonlinear analysis. / Rankine, L.; Hassanpour, H.; Mesbah, M.; Boashash, B.
Proceedings - 8th International Symposium on Signal Processing and its Applications, ISSPA 2005. Vol. 1 2005. p. 191-194 1580228.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
}
TY - GEN
T1 - Newborn EEG simulation from nonlinear analysis
AU - Rankine, L.
AU - Hassanpour, H.
AU - Mesbah, M.
AU - Boashash, B.
PY - 2005
Y1 - 2005
N2 - In this paper, we propose a novel method of simulating normal newborn EEG. The method is based on the results from the fractal dimension analysis of real EEG recordings. The fractal dimension analysis was done using the Higuchi method for fractal dimension estimation. Comparison of signals in the time domain, frequency domain and time-frequency domain between real and simulated signals show similarities validating the EEG simulator. This model can provide artefact free EEG signals for researchers so that algorithm parameters can be tuned or so that automatic EEG detection algorithms, such as seizure detection and epileptic spike detection, can be evaluated.
AB - In this paper, we propose a novel method of simulating normal newborn EEG. The method is based on the results from the fractal dimension analysis of real EEG recordings. The fractal dimension analysis was done using the Higuchi method for fractal dimension estimation. Comparison of signals in the time domain, frequency domain and time-frequency domain between real and simulated signals show similarities validating the EEG simulator. This model can provide artefact free EEG signals for researchers so that algorithm parameters can be tuned or so that automatic EEG detection algorithms, such as seizure detection and epileptic spike detection, can be evaluated.
UR - http://www.scopus.com/inward/record.url?scp=33847134389&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=33847134389&partnerID=8YFLogxK
U2 - 10.1109/ISSPA.2005.1580228
DO - 10.1109/ISSPA.2005.1580228
M3 - Conference contribution
SN - 0780392434
SN - 9780780392434
VL - 1
SP - 191
EP - 194
BT - Proceedings - 8th International Symposium on Signal Processing and its Applications, ISSPA 2005
ER -