Characterization of EMG Patterns From Proximal Arm Muscles During Object- and Orientation-Specific Grasps
Reach-to-grasp tasks are composed of several actions that are more and more considered as simultaneously controlled by the central nervous system in a feedforward manner (at least for well-known activities). If this hypothesis is correct, during prehension tasks, the activity of proximal muscles (and not only of the distal ones used to control finger movements) is modulated according to the kind of object to be grasped and its position. This means that different objects could be identified by processing the electromyographic (EMG) signals recorded from proximal muscles. In this paper, specific experiments have been carried out to support this hypothesis in able-bodied subjects. The results achieved seem to confirm this possibility by showing that the activation of proximal muscles can be statistically different for different grip types. This finding supports the hypothesis that proximal and distal muscles are simultaneously controlled during reaching and grasping. Moreover, this kind of information could allow the development of an EMG-based control strategy based on the natural muscular activities selected by the central nervous system.
Keywords: Biorobotics ; electromyographic (EMG) signals ; hand prosthesis ; reach-to-grasp ; upper arm ; Multifunction Myoelectric Control ; Prosthesis Control ; Finger Movements ; Hand ; Recognition ; Contraction ; Prehension ; Synergies ; Design ; System
Record created on 2012-04-25, modified on 2016-08-09