Abstract
The newborn EEG seizure is a nonstationary signal. The time-varying nature of the newborn EEG seizure can be characterized by time-frequency representations (TFRs) such as quadratic time-frequency distributions. The underlying time-frequency signatures of newborn EEG seizure, however, can be severely masked by short-time and high amplitude (STHA), or impulsive, artefacts. This type of artefact can be modelled as heavy-tailed noise. Robust time-frequency distributions (RTFDs) have been proposed as methods for TFRs which are robust to heavy-tailed noise. In this paper, we investigate the use of RTFDs for representing the underlying time-frequency characteristics of newborn EEG seizure in the presence of STHA artefacts.
| Original language | English |
|---|---|
| Title of host publication | 29th Annual International Conference of IEEE-EMBS, Engineering in Medicine and Biology Society, EMBC'07 |
| Pages | 11-14 |
| Number of pages | 4 |
| DOIs | |
| Publication status | Published - 2007 |
| Event | 29th Annual International Conference of IEEE-EMBS, Engineering in Medicine and Biology Society, EMBC'07 - Lyon, France Duration: Aug 23 2007 → Aug 26 2007 |
Other
| Other | 29th Annual International Conference of IEEE-EMBS, Engineering in Medicine and Biology Society, EMBC'07 |
|---|---|
| Country | France |
| City | Lyon |
| Period | 8/23/07 → 8/26/07 |
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ASJC Scopus subject areas
- Signal Processing
- Biomedical Engineering
- Computer Vision and Pattern Recognition
- Health Informatics
Cite this
Robust time-frequency analysis of newborn EEG seizure corrupted by impulsive artefacts. / Brotchie, James; Rankine, Luke; Mesbah, Mostefa; Colditz, Paul; Boashash, Boualem.
29th Annual International Conference of IEEE-EMBS, Engineering in Medicine and Biology Society, EMBC'07. 2007. p. 11-14 4352210.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
}
TY - GEN
T1 - Robust time-frequency analysis of newborn EEG seizure corrupted by impulsive artefacts
AU - Brotchie, James
AU - Rankine, Luke
AU - Mesbah, Mostefa
AU - Colditz, Paul
AU - Boashash, Boualem
PY - 2007
Y1 - 2007
N2 - The newborn EEG seizure is a nonstationary signal. The time-varying nature of the newborn EEG seizure can be characterized by time-frequency representations (TFRs) such as quadratic time-frequency distributions. The underlying time-frequency signatures of newborn EEG seizure, however, can be severely masked by short-time and high amplitude (STHA), or impulsive, artefacts. This type of artefact can be modelled as heavy-tailed noise. Robust time-frequency distributions (RTFDs) have been proposed as methods for TFRs which are robust to heavy-tailed noise. In this paper, we investigate the use of RTFDs for representing the underlying time-frequency characteristics of newborn EEG seizure in the presence of STHA artefacts.
AB - The newborn EEG seizure is a nonstationary signal. The time-varying nature of the newborn EEG seizure can be characterized by time-frequency representations (TFRs) such as quadratic time-frequency distributions. The underlying time-frequency signatures of newborn EEG seizure, however, can be severely masked by short-time and high amplitude (STHA), or impulsive, artefacts. This type of artefact can be modelled as heavy-tailed noise. Robust time-frequency distributions (RTFDs) have been proposed as methods for TFRs which are robust to heavy-tailed noise. In this paper, we investigate the use of RTFDs for representing the underlying time-frequency characteristics of newborn EEG seizure in the presence of STHA artefacts.
UR - http://www.scopus.com/inward/record.url?scp=57649149061&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=57649149061&partnerID=8YFLogxK
U2 - 10.1109/IEMBS.2007.4352210
DO - 10.1109/IEMBS.2007.4352210
M3 - Conference contribution
C2 - 18001876
AN - SCOPUS:57649149061
SN - 1424407885
SN - 9781424407880
SP - 11
EP - 14
BT - 29th Annual International Conference of IEEE-EMBS, Engineering in Medicine and Biology Society, EMBC'07
ER -