The current pattern recognition-based EMG control is highly patter-motion related. Once a maping of EMG patterns to desired motions is predefined, it is hard to re-configure and apply again. Considering the human hand grasp is controlled by C.N.S. in a coordinated way (synergy), rather than a one-to-one specific way, I am wondering if this finger coordination can be found in the EMG signals and thus through suitable algorithms these information can be extracted and applied to the prosthetic hand's grasp control.
Dapeng Yang
Oh, Castellini has given the answer. "Evidence of muscle synergies during human grasping," Biol Cybern, vol. 107, pp. 233-45, Apr 2013.
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