Special Bioengineering Seminar: Ping Zhou

Wednesday, March 12, 2008
2:00 p.m.-3:00 p.m.
0408 Animal Science/Agricultural Eng. Bldg.
Professor Yang Tao
(301) 405-1189
ytao@umd.edu

Decoding Targeted Muscle Reinnervation for Improved Myoelectric Prosthesis Control

Presented by Ping Zhou
Research Scientist, Rehabilitation Institute of Chicago
Research Asst. Professor, Northwestern University

A novel neural machine interface called targeted muscle reinnervation (TMR) was developed to improve the function of artificial arms for amputees (Kuiken et al. 2004). TMR involves transferring the residual amputated nerves to non-functional muscles in amputees. The reinnervated muscles then act as a biological amplifier of motor commands in the amputated nerve and the surface electromyogram (EMG) can be used to enhance control of a robotic arm. Although initial clinical success with TMR has been promising, the number of degrees of freedom of the robotic arm that can be controlled has been limited by the number of reinnervated muscle sites. An analysis of the motor control information content made available with TMR in four subjects is presented in this study. To assess how much control information can be extracted from the TMR sources, we used high density surface electrode arrays to record EMG over the reinnervated muscles, and applied advanced signal processing and classifying techniques to the surface EMG signals. High accuracy was achieved in the classification of 16 intended arm, hand, and finger/thumb movements. Further analyses of required EMG channel number and computational demands demonstrate clinical feasibility of these methods. In addition, the results demonstrate that the central motor control system is capable of eliciting complex efferent commands for a missing limb, in the absense of peripheral feedback and without re-training of the pathways involved.

Audience: Graduate  Faculty  Post-Docs 

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