| dc.contributor.author |
Hassanpour, H |
|
| dc.contributor.author |
Williams, W |
|
| dc.contributor.author |
Mesbah, M |
|
| dc.contributor.author |
Boashash, B |
|
| dc.date.accessioned |
2011-09-28T18:11:12Z |
|
| dc.date.available |
2011-09-28T18:11:12Z |
|
| dc.date.issued |
2001 |
|
| dc.identifier.citation |
Signal Processing and its Applications, Sixth International, Symposium on. 2001 Issue Date : 2001 Volume : 1 On page(s): 246 |
en_US |
| dc.identifier.isbn |
0-7803-6703-0 |
|
| dc.identifier.uri |
http://hdl.handle.net/10576/10747 |
|
| dc.description |
This paper presents a new approach for seizure detection in
the EEG signal of neonates, using spike event
intervals in the time-frequency domain as a criterion for
analysing brain activity
(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 |
There are a number of approaches for analysing EEG signals in the time, frequency, and time-frequency domains. However due to the nonstationarity of the EEG signals, the time-frequency methods proved to be superior. This paper presents a new method for the detection of newborn EEG seizure activity in the time-frequency domain. The proposed approach utilises 30-second epochs of EEG signal and analyses one frequency slice of their time-frequency representations at about 75 Hz. Spiking activity in these high frequency slices are used to distinguish between seizure and nonseizure activities. Using histograms of intervals between successive spikes, we were able to show the dramatic difference between spikes originating from seizure and those from nonseizure. This finding led to this novel method of seizure detection in newborn babies. |
en_US |
| dc.language.iso |
en |
en_US |
| dc.publisher |
IEEE |
en_US |
| dc.subject |
Brain |
en_US |
| dc.subject |
Time frequency analysis |
en_US |
| dc.subject |
EEG spike event extraction |
en_US |
| dc.subject |
newborn EEG seizure activity |
en_US |
| dc.subject |
seizure detection |
en_US |
| dc.subject |
statistical features |
en_US |
| dc.subject |
time-frequency domain |
en_US |
| dc.subject |
Spike detection |
en_US |
| dc.subject |
spike event interval |
en_US |
| dc.title |
Time-frequency extraction of EEG spike events for seizure detection in neonate |
en_US |
| dc.type |
Article |
en_US |