Name
Title | ||
|---|---|---|
Real-time classification of forearm movements based on high density surface electromyography |
Abstract | ||
|---|---|---|
Partial or complete loss of the upper limb motor function has great impact on the activities of daily life (ADL) of post-stroke survivors. To improve the rehabilitation effect of fine motor function of forearms, a couple of recent studies focused on methods that try to decode the limb motion intent of patients through physical exercises. However, there exist a few studies on real-time active rehabilitation method for the classification of multiple hand movements. In the current investigate, a pattern-recognition based rehabilitation environment was set up using high-density surface electromyogram (HD-sEMG) and the real-time classification performance of 21 forearm motions was investigated with eight healthy subjects. The results showed that the average motion completion rate across all subjects was 91.17% + 2.86%, which suggests the potential of intention-initiated approach in assistive rehabilitation technique. |
Year | DOI | Venue |
|---|---|---|
2017 | 10.1109/RCAR.2017.8311868 | 2017 IEEE International Conference on Real-time Computing and Robotics (RCAR) |
Keywords | Field | DocType |
forearm movements,high density surface electromyography,upper limb motor function,ADL,post-stroke survivors,rehabilitation effect,physical exercises,real-time active rehabilitation method,multiple hand movements,pattern-recognition based rehabilitation environment,high-density surface electromyogram,HD-sEMG,real-time classification performance,average motion completion rate,assistive rehabilitation technique,real-time classification,forearm motions,activities of daily life,intention-initiated approach,intention-initiated approach,intention-initiated approach | Rehabilitation,Real time classification,Upper limb,Computer science,Support vector machine,High density,Electromyography,Feature extraction,Forearm,Physical medicine and rehabilitation | Conference |
ISBN | Citations | PageRank |
978-1-5386-2036-6 | 1 | 0.37 |
References | Authors | |
4 | 9 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Wei Yue | 1 | 170 | 15.50 |
| Yanjuan Geng | 2 | 32 | 7.76 |
| Wen Long Yu | 3 | 4 | 0.89 |
| O. W. Samuel | 4 | 161 | 22.87 |
| Naifu Jiang | 5 | 1 | 0.71 |
| Hui Zhou | 6 | 41 | 14.35 |
| Xin Guo | 7 | 2 | 1.06 |
| Xiaoqiang Lu | 8 | 1191 | 74.48 |
| Guanglin Li | 9 | 314 | 57.23 |