Name
Title | ||
|---|---|---|
A Hierarchical Discriminative Sparse Representation Classifier for EEG Signal Detection |
Abstract | ||
|---|---|---|
Classification of electroencephalogram (EEG) signal data plays a vital role in epilepsy detection. Recently sparse representation-based classification (SRC) methods have achieved the good performance in EEG signal automatic detection, by which the EEG signals are sparsely represented using a few active coefficients in the dictionary and classified according to the reconstruction criteria. However,... |
Year | DOI | Venue |
|---|---|---|
2021 | 10.1109/TCBB.2020.3006699 | IEEE/ACM Transactions on Computational Biology and Bioinformatics |
Keywords | DocType | Volume |
Electroencephalography,Feature extraction,Dictionaries,Epilepsy,Classification algorithms,Signal detection,Brain modeling | Journal | 18 |
Issue | ISSN | Citations |
5 | 1545-5963 | 0 |
PageRank | References | Authors |
0.34 | 0 | 3 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Xiaoqing Gu | 1 | 44 | 9.30 |
| Cong Zhang | 2 | 149 | 26.42 |
| Tongguang Ni | 3 | 16 | 6.31 |