Prediction of upper limb muscle activity from motor cortical discharge during reaching
Prediction of upper limb muscle activity from motor cortical discharge during reaching
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DOI：
10.1088/1741-2560/4/4/003
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发表时间：
2007-12-01
影响因子：
4
通讯作者：
Miller, Lee E.
中科院分区：
文献类型：
--
作者：
Pohlmeyer, Eric A.;Solla, Sara A.;Miller, Lee E.
运动皮层（M1）的运动表征多年来一直是一个理论性的问题，但在过去的几年里，随着脑机接口的出现，它已经成为一个更实际的问题。越来越多的研究小组已经证明了在M1记录的基础上预测各种运动信号的能力，并利用这些预测来控制光标或机器人肢体的运动。另一方面，我们在按下按钮和抓握动作时，对手臂和手的各种肌肉记录的肌电（EMG）信号进行了预测。我们已经证明，尽管这些信号具有随机性和更大的带宽，但它们可以以与运动信号相似的精度进行预测。预测是使用12或16个神经信号的子集进行的，这些神经信号是按照每个信号独特的输出相关信息内容的顺序选择的。结果预测的准确性在一个典型的实验过程中保持稳定。即使在长达两周的时间里，大多数肌肉的准确度仍保持在初始水平的80%以上。我们正在探索将这些预测作为控制信号用于四肢瘫痪患者的神经肌肉电刺激。
Movement representation by the motor cortex (M1) has been a theoretical interest for many years, but in the past several years it has become a more practical question, with the advent of the brain-machine interface. An increasing number of groups have demonstrated the ability to predict a variety of kinematic signals on the basis of M1 recordings and to use these predictions to control the movement of a cursor or robotic limb. We, on the other hand, have undertaken the prediction of myoelectric (EMG) signals recorded from various muscles of the arm and hand during button pressing and prehension movements. We have shown that these signals can be predicted with accuracy that is similar to that of kinematic signals, despite their stochastic nature and greater bandwidth. The predictions were made using a subset of 12 or 16 neural signals selected in the order of each signal's unique, output-related information content. The accuracy of the resultant predictions remained stable through a typical experimental session. Accuracy remained above 80% of its initial level for most muscles even across periods as long as two weeks. We are exploring the use of these predictions as control signals for neuromuscular electrical stimulation in quadriplegic patients.