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The application of Markov method for upper limb rehabilitation robot's dynamic evaluation

机译:Markov方法在上肢康复机器人的动态评估中的应用

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摘要

Based on the characteristics of upper limb rehabilitation robot and the principle of stochastic process, Markov chain model is established. According to the analysis of the trend of muscle force, balance function, range of motion, and coordination function, the transfer matrix is built and the feasibility is tested. A new idea for upper limb rehabilitation robot dynamic evaluation is provided.
机译:基于上肢康复机器人的特点及随机过程原理,建立了马尔可夫链模型。根据肌肉力趋势的分析,平衡函数,运动范围和协调功能,构建了传输矩阵,并测试了可行性。提供了上肢康复机器人动态评估的新思路。

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