肌电信号作为智能肌电假肢的主要控制源，研究肌电信号与人体动作间的联系对智能假肢的研究有着重要的意义。
The EMG signals are the major controlling source, the connection between the EMG signals and the human motions has a very important significance for the study of intelligent prostheses.
本文对基于模式识别的肌电假肢关键技术进行深入研究，围绕肌电假肢控制方案的框架与组成部分展开一系列的工作。
In this paper, the key technology of myoelectric pattern recognition based prosthesis control strategy was studied. And a series of work was carried out around the control strategy framework.
本文对基于模式识别的肌电假肢关键技术进行深入研究，围绕肌电假肢控制方案的框架与组成部分展开一系列的工作。
In this paper, the key technology of myoelectric pattern recognition based prosthesis control strategy was studied. And a series of work was carried out around the control strategy framework.
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