Name
Title | ||
|---|---|---|
A Novel Approach to the Segmentation of sEMG Data Based on the Activation and Deactivation of Muscle Synergies During Movement. |
Abstract | ||
|---|---|---|
The muscle-synergy hypothesis is a widely used method for describing simple motion patterns and how the central nervous system deals with the complexity of controlling a large set of muscles in parallel. However, the physiological interpretation of synergies and the mathematical techniques behind their computation are still far from being properly standardized. This letter proposes a novel approac... |
Year | DOI | Venue |
|---|---|---|
2018 | 10.1109/LRA.2018.2811506 | IEEE Robotics and Automation Letters |
Keywords | Field | DocType |
Muscles,Wheels,Motor drives,Physiology,Steering systems,Complexity theory,Spinal cord | Pattern recognition,Segmentation,Control engineering,Motor control,Artificial intelligence,Engineering,Computation | Journal |
Volume | Issue | Citations |
3 | 3 | 2 |
PageRank | References | Authors |
0.46 | 0 | 5 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Alvaro Costa-Garcia | 1 | 2 | 1.48 |
| matti itkonen | 2 | 2 | 1.48 |
| Hiroshi Yamasaki | 3 | 2 | 1.14 |
| Fady Alnajjar | 4 | 66 | 12.23 |
| Shingo Shimoda | 5 | 135 | 20.49 |