首页> 外文会议>International Conference on Neural Information Processing;ICONIP 2007 >Prediction of Arm Trajectory from the NeuralActivities of the Primary Motor Cortex Using a Modular Artificial Neural Network Model
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Prediction of Arm Trajectory from the NeuralActivities of the Primary Motor Cortex Using a Modular Artificial Neural Network Model

机译:基于模块化运动神经网络模型的初级运动皮层神经活动预测手臂运动轨迹

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First, we reconstructed 9 muscle tensions (filtered EMG signals) from 105 neurons in the arm region of the primary motor cortex, then estimated arm movement in four degrees of freedom in the shoulder and the elbow from the reconstructed 9 muscle tensions. The reconstructed arm movement showed good correlation with the actual arm movement.
机译:首先,我们从主要运动皮层的手臂区域的105个神经元中重建了9个肌肉张力(滤波后的EMG信号),然后从重建的9个肌肉张力中估计了肩膀和肘部四个自由度的手臂运动。重建的手臂运动与实际手臂运动显示出良好的相关性。

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