Name
Title | ||
|---|---|---|
Improved Spike Detection Algorithm Based on Multi-Template Matching and Feature Extraction |
Abstract | ||
|---|---|---|
Spike detection is of great significance in the detection of epileptic seizures. Many spike detection algorithms have been proposed, but available algorithms often miss spikes during high firing rate epochs or with artifacts. Also, there exists methodological limitations when there are great variations in spike morphology between different patients or the same patient in different EEG epoch. Thus ... |
Year | DOI | Venue |
|---|---|---|
2022 | 10.1109/TCSII.2021.3092141 | IEEE Transactions on Circuits and Systems II: Express Briefs |
Keywords | DocType | Volume |
Feature extraction,Electroencephalography,Scalp,Morphology,Sensitivity,Detection algorithms,Clustering algorithms | Journal | 69 |
Issue | ISSN | Citations |
1 | 1549-7747 | 3 |
PageRank | References | Authors |
0.48 | 0 | 7 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Tiejia Jiang | 1 | 3 | 1.49 |
| Duanpo Wu | 2 | 3 | 0.48 |
| Feng Gao | 3 | 3 | 0.48 |
| Jiuwen Cao | 4 | 3 | 0.48 |
| Shenyi Dai | 5 | 3 | 0.48 |
| Junbiao Liu | 6 | 3 | 2.17 |
| Yan Li | 7 | 25 | 23.95 |