title: [EMG signal analysis based on fuggy and neural network].
abstract: Recognizing methods of EMG signal based on the fuzzy and neural network, applying to a gamma model network is trained for EMG signal of artificial-limbs, compared with assemble-category analysis. The results demonstrated that identification rate is being the better.
authors.affiliation: Zhujiang Hospital Guangzhou.
authors.forename: J
authors.initials: J
authors.lastname: Liu
authors.forename: Z
authors.initials: Z
authors.lastname: Cai
mesh_terms: D000465:Algorithms; D004576:Electromyography; D017143:Fuzzy Logic; D006801:Humans; D016571:Neural Networks, Computer; D012815:Signal Processing, Computer-Assisted