| dc.contributor.author |
Brotchie, J |
|
| dc.contributor.author |
Rankine, L |
|
| dc.contributor.author |
Mesbah, M |
|
| dc.contributor.author |
Colditz, P |
|
| dc.contributor.author |
Boashash, B |
|
| dc.date.accessioned |
2012-09-18T02:20:27Z |
|
| dc.date.available |
2012-09-18T02:20:27Z |
|
| dc.date.issued |
2007 |
|
| dc.identifier.citation |
Proc. of Engineering in Medicine and Biology Society, 2007. EMBS 2007. 29th Annual International Conference of the IEEE, 2007, pp. 11-14. (doi: 10.1109/iembs.2007.4352210) |
en_US |
| dc.identifier.issn |
1557-170X |
|
| dc.identifier.other |
Digital Object Identifier : 10.1109/IEMBS.2007.4352210 |
|
| dc.identifier.uri |
http://hdl.handle.net/10576/10872 |
|
| dc.description |
This paper shows that the Robust MBD could represent the underlying time–frequency signatures of the newborn EEG seizure in the presence of impulsive artefacts better than the traditional MBD.
(Additional details can be found in the comprehensive book on Time-Frequency Signal Analysis and Processing (see http://www.elsevier.com/locate/isbn/0080443354).
In addition, the most recent upgrade of the original software package that calculates Time-Frequency Distributions and Instantaneous Frequency estimators can be downloaded from the web site: www.time-frequency.net. This was the first software developed in the field, and it was first released publicly in 1987 at the 1st ISSPA conference held in Brisbane, Australia, and then continuously updated). |
en_US |
| dc.description.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-timeand 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 underlyingtime-frequency characteristics of newborn EEG seizure in the presence of STHA artefacts. |
en_US |
| dc.language.iso |
en |
en_US |
| dc.publisher |
IEEE |
en_US |
| dc.subject |
EEG seizure |
en_US |
| dc.subject |
impulsive artefacts |
en_US |
| dc.subject |
nonstationary signal |
en_US |
| dc.subject |
quadratic time-frequency distributions |
en_US |
| dc.subject |
robust time-frequency analysis |
en_US |
| dc.subject |
time-frequency representations |
en_US |
| dc.subject |
MBD |
en_US |
| dc.subject |
quadratic TFDs |
en_US |
| dc.subject |
modified B distribution |
en_US |
| dc.subject |
heavy-tailored-noise |
en_US |
| dc.title |
Robust Time-Frequency Analysis of Newborn EEG Seizure Corrupted by Impulsive Artefacts |
en_US |
| dc.type |
Article |
en_US |