Name
Title | ||
|---|---|---|
Motor imagery EEG recognition based on conditional optimization empirical mode decomposition and multi-scale convolutional neural network |
Abstract | ||
|---|---|---|
•The EMD algorithm is improved by using two conditions to select IMFs.•The improved EMD (CEMD) algorithm is used to reduce the noise of EEG signals.•An EEG signal combination method is proposed to encode the ERS/ERD information.•A model called 1DMSCNN is built to classify EEG signals.•An intelligent wheelchair system based on the proposed algorithm is designed. |
Year | DOI | Venue |
|---|---|---|
2020 | 10.1016/j.eswa.2020.113285 | Expert Systems with Applications |
Keywords | DocType | Volume |
Empirical mode decomposition,Convolutional neural network,Motor imagery EEG,Feature extraction,Intelligent wheelchair | Journal | 149 |
ISSN | Citations | PageRank |
0957-4174 | 2 | 0.38 |
References | Authors | |
18 | 5 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Xianlun Tang | 1 | 7 | 4.86 |
| Wei Li | 2 | 436 | 140.67 |
| Xingchen Li | 3 | 2 | 0.38 |
| Weichang Ma | 4 | 2 | 0.38 |
| Xiaoyuan Dang | 5 | 2 | 0.38 |