Accès ouvert
2026
other
OpenAlex
Ran Duan, Le Bao, Seong-no Lee
Surface electromyography (sEMG) complexity provides insight into neuromuscular control and may reveal differences in motor coordination after upper-limb amputation. This study presents a protocol for quantifying scale-dependent, multichannel sEMG complexity during functional grasping using refined composite multivariate multiscale fuzzy entropy (RCmvMFE) with …
Accès ouvert
2026
other
OpenAlex
Ran Duan, Le Bao, Seong-no Lee
Surface electromyography (sEMG) complexity provides insight into neuromuscular control and may reveal differences in motor coordination after upper-limb amputation. This study presents a protocol for quantifying scale-dependent, multichannel sEMG complexity during functional grasping using refined composite multivariate multiscale fuzzy entropy (RCmvMFE) with …
Accès ouvert
2026
other
OpenAlex
Ran Duan, Le Bao, Seong-no Lee
Surface electromyography (sEMG) complexity provides insight into neuromuscular control and may reveal differences in motor coordination after upper-limb amputation. This study presents a protocol for quantifying scale-dependent, multichannel sEMG complexity during functional grasping using refined composite multivariate multiscale fuzzy entropy (RCmvMFE) with …
Accès ouvert
2026
other
OpenAlex
Ran Duan, Le Bao, Seong-no Lee
Surface electromyography (sEMG) complexity provides insight into neuromuscular control and may reveal differences in motor coordination after upper-limb amputation. This study presents a protocol for quantifying scale-dependent, multichannel sEMG complexity during functional grasping using refined composite multivariate multiscale fuzzy entropy (RCmvMFE) with …
Accès ouvert
2026
article
OpenAlex
Yifan Jiang, Songshan Yang, Le Bao, RC Li
This work is concerned with computational issues related to penalized rank regression, which has been proposed for variable selection in rank regression. Although rank regression is an effective analytic tool for dealing with heavy-tailed error and outlier contamination due to its robustness …
Accès ouvert
2026
article
OpenAlex
Yifan Jiang, Songshan Yang, Le Bao, Runze Li
This work is concerned with computational issues related to penalized rank regression, which has been proposed for variable selection in rank regression. Although rank regression is an effective analytic tool for dealing with heavy-tailed error and outlier contamination due to its robustness …
Accès ouvert
2026
article
OpenAlex
Yifan Jiang, Songshan Yang, Le Bao, RC Li
This work is concerned with computational issues related to penalized rank regression, which has been proposed for variable selection in rank regression. Although rank regression is an effective analytic tool for dealing with heavy-tailed error and outlier contamination due to its robustness …