Name
Abstract | ||
|---|---|---|
This paper describes a user-friendly toolbox, ReMAE, for removing muscle artifacts from electroencephalogram (EEG), running under the MATLAB environment. It implements a series of state-of-the-art methods for muscle artifact removal from EEG in the literature, and provides a graphical user interface (GUI). According to the taxonomy of the existing studies, this toolbox contains three denoising mod... |
Year | DOI | Venue |
|---|---|---|
2020 | 10.1109/TIM.2019.2920186 | IEEE Transactions on Instrumentation and Measurement |
Keywords | DocType | Volume |
Electroencephalography,Muscles,Data visualization,Electromyography,Matlab,Feature extraction,Electrocardiography | Journal | 69 |
Issue | ISSN | Citations |
5 | 0018-9456 | 3 |
PageRank | References | Authors |
0.39 | 0 | 10 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Xun Chen | 1 | 458 | 52.73 |
| Qingze Liu | 2 | 3 | 0.39 |
| Wei Tao | 3 | 3 | 0.39 |
| Luchang Li | 4 | 3 | 0.73 |
| Soojin Lee | 5 | 3 | 0.39 |
| Aiping Liu | 6 | 72 | 10.58 |
| Qiang Chen | 7 | 4 | 0.74 |
| Juan Cheng | 8 | 3 | 0.73 |
| Martin J. Mckeown | 9 | 415 | 75.56 |
| Z. Jane Wang | 10 | 406 | 55.43 |