Name
Abstract | ||
|---|---|---|
Electroencephalogram (EEG) signal classification is used in many applications. Typically, this classification is implemented based on methods which consist of two steps. These steps are known as the step of signal preprocessing and the step of the classification. The signal preprocessing step transforms initial signal into classification attributes. According to several studies, this transformatio... |
Year | DOI | Venue |
|---|---|---|
2022 | 10.1109/TII.2021.3084352 | IEEE Transactions on Industrial Informatics |
Keywords | DocType | Volume |
Electroencephalography,Feature extraction,Pattern classification,Dimensionality reduction,Principal component analysis,Epilepsy,Decision trees | Journal | 18 |
Issue | ISSN | Citations |
2 | 1551-3203 | 0 |
PageRank | References | Authors |
0.34 | 0 | 4 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Jan Rabcan | 1 | 0 | 2.37 |
| Vitaly G. Levashenko | 2 | 39 | 12.90 |
| Elena N. Zaitseva | 3 | 53 | 14.38 |
| Miroslav Kvassay | 4 | 9 | 8.85 |