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Lower Limb Rehabilitation Robotics System Based on BP Neural Network

机译:基于BP神经网络的下肢康复机器人系统

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This research explore a robotic system based on neural network used for therapy of foot drop case, which caused by stroke. This device supports most exercises should be practiced by patient at any time or any place no need going to the hospitals. I had built robotic on mechanism of parallel robot which is controlled by microcontroller ATM mega 2560. The robot allows people who need to do the exercise without need for outside help. Many theoretical and experimental testing had made on proposed prototype do the particular medical therapy. Results show that the accuracy in path and angle was lower worst case for each exercise, which is good according therapy point of view.
机译:本研究探讨了基于神经网络的机器人系统,用于治疗脚下落叶案例,由中风引起的。 该设备支持大多数练习,应在任何时间或任何地方都不需要去医院的地方进行。 我在并行机器人机制上建立了机器人,由微控制器ATM Mega 2560控制。机器人允许在不需要外部帮助的情况下需要进行运动的人。 许多理论和实验测试对所提出的原型进行了特定的医疗疗法。 结果表明,每次运动的路径和角度的准确性都较低,根据治疗的观点是良好的。

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