Our previous study has shown the potential of using a computer system to accurately decode electromyographic (EMG) signals for neural controlled artificial legs. Because of computation complexity of the training algor...
详细信息
ISBN:
(纸本)9781424489350
Our previous study has shown the potential of using a computer system to accurately decode electromyographic (EMG) signals for neural controlled artificial legs. Because of computation complexity of the training algorithm coupled with real time requirement of controlling artificial legs, traditional embedded systems generally cannot be directly applied to the system. This paper presents a new design of an fpga-basedneural-machineinterface for artificial legs. Both the training algorithm and the real time controlling algorithm are implemented on an fpga. A soft processor built on the fpga is used to manage hardware components and direct data flows. The implementation and evaluation of this design are based on Altera Stratix II GX EP2SGX90 fpga device on a PCI Express development board. Our performance evaluations indicate that a speedup of around 280X can be achieved over our previous software implementation with no sacrifice of computation accuracy. The results demonstrate the feasibility of a self-contained, low power, and high performance real-time neural-machineinterface for artificial legs.
暂无评论