Name
Abstract | ||
|---|---|---|
The detection of seizure in the newborn is a critical aspect of neurological research. Current automatic detection techniques are difficult to assess due to the problems associated with acquiring and labelling newborn electroencephalogram (EEG) data. A realistic model for newborn EEG would allow confident development, assessment and comparison of these detection techniques. This paper presents a m... |
Year | DOI | Venue |
|---|---|---|
2007 | 10.1109/TBME.2006.886667 | IEEE Transactions on Biomedical Engineering |
Keywords | Field | DocType |
Brain modeling,Pediatrics,Electroencephalography,Time frequency analysis,Labeling,Fractals,Piecewise linear techniques,Chirp modulation,Amplitude modulation,Parameter estimation | Colors of noise,Computer science,Stochastic process,Electronic engineering,Speech recognition,Harmonics,Spectral density,Time–frequency analysis,Estimation theory,Instantaneous phase,Electroencephalography | Journal |
Volume | Issue | ISSN |
54 | 1 | 0018-9294 |
Citations | PageRank | References |
35 | 1.98 | 6 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Luke Rankine | 1 | 95 | 7.13 |
| Nathan Stevenson | 2 | 45 | 6.56 |
| Mostefa Mesbah | 3 | 184 | 27.26 |
| Boualem Boashash | 4 | 964 | 123.86 |