Name
Abstract | ||
|---|---|---|
The performance of single-use subject-specific electromyogram (EMG)-torque models degrades significantly when used on a new subject, or even the same subject on a second day. Improving the generalization performance of models is essential but challenging. In this work, we investigate how data management strategies contribute to the performance of elbow joint EMG-torque models in cross-subject eval... |
Year | DOI | Venue |
|---|---|---|
2021 | 10.1109/TBME.2021.3069961 | IEEE Transactions on Biomedical Engineering |
Keywords | DocType | Volume |
Data models,Electromyography,Torque,Training,Calibration,Adaptation models,Elbow | Journal | 68 |
Issue | ISSN | Citations |
8 | 0018-9294 | 1 |
PageRank | References | Authors |
0.34 | 0 | 5 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Xinyu Jiang | 1 | 1 | 0.34 |
| Berj Bardizbanian | 2 | 1 | 0.34 |
| Chenyun Dai | 3 | 8 | 7.61 |
| Wei Chen | 4 | 96 | 39.08 |
| Edward A Clancy | 5 | 1 | 0.34 |