EMG Biofeedback for online predictive control of grasping force in a myoelectric prosthesis.
about
Adaptation to random and systematic errors: Comparison of amputee and non-amputee control interfaces with varying levels of process noise.A Novel Hybrid Model for Drawing Trace Reconstruction from Multichannel Surface Electromyographic Activity.The clinical relevance of advanced artificial feedback in the control of a multi-functional myoelectric prosthesis.Audible Feedback Improves Internal Model Strength and Performance of Myoelectric Prosthesis Control.Myocontrol is closed-loop control: incidental feedback is sufficient for scaling the prosthesis force in routine graspingA Vision-Driven Collaborative Robotic Grasping System Tele-Operated by Surface Electromyography
P2860
EMG Biofeedback for online predictive control of grasping force in a myoelectric prosthesis.
description
2015 nî lūn-bûn
@nan
2015 թուականի Յունիսին հրատարակուած գիտական յօդուած
@hyw
2015 թվականի հունիսին հրատարակված գիտական հոդված
@hy
2015年の論文
@ja
2015年論文
@yue
2015年論文
@zh-hant
2015年論文
@zh-hk
2015年論文
@zh-mo
2015年論文
@zh-tw
2015年论文
@wuu
name
EMG Biofeedback for online pre ...... e in a myoelectric prosthesis.
@ast
EMG Biofeedback for online pre ...... e in a myoelectric prosthesis.
@en
type
label
EMG Biofeedback for online pre ...... e in a myoelectric prosthesis.
@ast
EMG Biofeedback for online pre ...... e in a myoelectric prosthesis.
@en
prefLabel
EMG Biofeedback for online pre ...... e in a myoelectric prosthesis.
@ast
EMG Biofeedback for online pre ...... e in a myoelectric prosthesis.
@en
P2093
P2860
P1476
EMG Biofeedback for online pre ...... ce in a myoelectric prosthesis
@en
P2093
Bernhard Graimann
Dario Farina
Kelef Somer
Marko Markovic
P2860
P2888
P356
10.1186/S12984-015-0047-Z
P577
2015-06-19T00:00:00Z