Name
Abstract | ||
|---|---|---|
Monitoring neonatal electroencephalogram (EEG) signal is useful in identifying neonatal convulsions which might be clinically invisible. Presence of burst suppression pattern in neonate EEG is a clear indication of epilepsy. Visual identification of burst patterns from recorded continuous raw EEG data is time consuming. On the other hand, automatic burst detection techniques mentioned in the stand... |
Year | DOI | Venue |
|---|---|---|
2011 | 10.1109/JETCAS.2011.2180834 | IEEE Journal on Emerging and Selected Topics in Circuits and Systems |
Keywords | DocType | Volume |
Electroencephalography,Feature extraction,Pediatrics,Support vector machines,Epilepsy,Sensitivity,Neonatology | Journal | 1 |
Issue | ISSN | Citations |
4 | 2156-3357 | 4 |
PageRank | References | Authors |
0.45 | 2 | 7 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Sourya Bhattacharyya | 1 | 17 | 4.35 |
| Arunava Biswas | 2 | 10 | 1.32 |
| Jayanta Mukherjee | 3 | 378 | 56.06 |
| a k majumdar | 4 | 4 | 0.45 |
| Bandana Majumdar | 5 | 31 | 4.82 |
| Suchandra Mukherjee | 6 | 21 | 3.46 |
| Arun K. Singh | 7 | 4 | 1.12 |