| dc.contributor.author |
Boashash, Boualem |
|
| dc.contributor.author |
Mesbah, Mostefa |
|
| dc.date.accessioned |
2011-05-05T14:16:50Z |
|
| dc.date.available |
2011-05-05T14:16:50Z |
|
| dc.date.issued |
2003-12 |
|
| dc.identifier.citation |
Dec2003/Jan2004, Vol. 1 Issue 6, p34-37 |
en_US |
| dc.identifier.issn |
1479-8336 |
|
| dc.identifier.uri |
http://hdl.handle.net/10576/10680 |
|
| dc.description |
This is an extension of the work reported in 2001 by the same authors in the paper: a time-frequency approach to …. |
en_US |
| dc.description.abstract |
A time-frequency signal processing approach is applied to newborn seizure detection. The EEG seizure is characterized by an instantaneous frequency modelled as a piece-wise Linear FM. The time-frequency detector is obtained by time-frequency correlation. |
en_US |
| dc.language.iso |
en |
en_US |
| dc.publisher |
Electronics Systems & Software |
en_US |
| dc.subject |
Time-Frequency analysis |
en_US |
| dc.subject |
newborn seizure detection |
en_US |
| dc.subject |
brain abnormality |
en_US |
| dc.subject |
instantaneous frequency estimation |
en_US |
| dc.subject |
time-frequency correlation |
en_US |
| dc.subject |
Wigner-Ville distribution |
en_US |
| dc.title |
Using DSP to Detect Seizures in Newborns |
en_US |
| dc.type |
Article |
en_US |