Title | ||
---|---|---|
Towards resolving the co-existing impacts of multiple dynamic factors on the performance of EMG-pattern recognition based prostheses. |
Abstract | ||
---|---|---|
•This study systematically investigated the co-existing impact of multiple dynamic factors on the performance of EMG pattern recognition system (EMG-PR).•An invariant time-domain descriptor was proposed to resolve such co-existing impacts with its performance validated.•The proposed method significantly mitigated combined impact of such factors on the performance of the EMG-PR system.•The outcomes of the study would be potential for improving the clinical robustness of multifunctional myoelectric prostheses. |
Year | DOI | Venue |
---|---|---|
2020 | 10.1016/j.cmpb.2019.105278 | Computer Methods and Programs in Biomedicine |
Keywords | Field | DocType |
Pattern recognition,Upper-limb prostheses,Electromyogram (EMG),Muscle contraction force variation,Subject mobility,Maximum Voluntary Contraction (MVC) | Wheelchair,Computer vision,Pattern recognition,Medical robotics,Computer science,Feature extraction,Invariant (mathematics),Artificial intelligence,Control system,Classifier (linguistics),Multiple degrees of freedom | Journal |
Volume | ISSN | Citations |
184 | 0169-2607 | 4 |
PageRank | References | Authors |
0.47 | 23 | 9 |
Name | Order | Citations | PageRank |
---|---|---|---|
Mojisola Grace Asogbon | 1 | 20 | 6.33 |
O. W. Samuel | 2 | 161 | 22.87 |
Yanjuan Geng | 3 | 32 | 7.76 |
Olugbenga Oluwagbemi | 4 | 4 | 0.47 |
Ji Ning | 5 | 4 | 0.47 |
Shixiong Chen | 6 | 25 | 12.77 |
Ganesh R. Naik | 7 | 298 | 25.37 |
Pang Feng | 8 | 4 | 0.47 |
Guanglin Li | 9 | 314 | 57.23 |