摘要
In this paper, the method of classification of the EMG signals has been researched,including the extracting characteristics with Autoregressive time-series model and thepattern recognition. The software of analysis and discrimination has been developed withLanguage C. Six upper extremity limb functions have been successfully identifiedaccording to the two channels of signals detected from a pair of surface electrodes.
In this paper, the method of classification of the EMG signals has been researched,including the extracting characteristics with Autoregressive time-series model and thepattern recognition. The software of analysis and discrimination has been developed withLanguage C. Six upper extremity limb functions have been successfully identifiedaccording to the two channels of signals detected from a pair of surface electrodes.
