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Integrating neuromuscular and cyber systems for neural control of artificial legs
2010
Proceedings of the 1st ACM/IEEE International Conference on Cyber-Physical Systems - ICCPS '10
This paper presents a design and implementation of a cyberphysical system (CPS) for neurally controlled artificial legs. The key to the new CPS system is the neural-machine interface (NMI) that uses an embedded computer to collect and interpret electromyographic (EMG) signals from a physical system that is a leg amputee. A new deciphering algorithm, composed of an EMG pattern classifier and finite state machine (FSM), was developed to identify the user"s intended lower limb movements. To deal
doi:10.1145/1795194.1795213
dblp:conf/iccps/HuangSYZZLRS10
fatcat:ajgpx6l7rrb4ni5jgak2dxxgya