1. Classifying myoelectric signals using hidden Markov model and support vector machine to process myoelectric signals, with the task of discrimination five classes of multifunction prosthesis movement.
2. The results of an analytic study on the mechanism of forearm prosthesis with myoelectric control and simulated experiments on the loci of human hand movements were reported.
本文阐述肌电控制前臂假手机构分析和人手运动轨迹模拟实验研究的结果。
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3. 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.
4. 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.
