Wang Zuoguan, Gunduz Aysegul, Brunner Peter, Ritaccio Anthony L, Ji Qiang, Schalk Gerwin
Department of ECSE, Rensselaer Polytechnic Institute, Troy NY, USA.
Front Neuroeng. 2012 Aug 8;5:15. doi: 10.3389/fneng.2012.00015. eCollection 2012.
Communication of intent usually requires motor function. This requirement can be limiting when a person is engaged in a task, or prohibitive for some people suffering from neuromuscular disorders. Determining a person's intent, e.g., where and when to move, from brain signals rather than from muscles would have important applications in clinical or other domains. For example, detection of the onset and direction of intended movements may provide the basis for restoration of simple grasping function in people with chronic stroke, or could be used to optimize a user's interaction with the surrounding environment. Detecting the onset and direction of actual movements are a first step in this direction. In this study, we demonstrate that we can detect the onset of intended movements and their direction using electrocorticographic (ECoG) signals recorded from the surface of the cortex in humans. We also demonstrate in a simulation that the information encoded in ECoG about these movements may improve performance in a targeting task. In summary, the results in this paper suggest that detection of intended movement is possible, and may serve useful functions.
意图的传达通常需要运动功能。当一个人从事某项任务时，这一要求可能会受到限制，或者对于一些患有神经肌肉疾病的人来说是完全无法实现的。从脑信号而非肌肉信号来确定一个人的意图，比如何时何地移动，在临床或其他领域将有重要应用。例如，检测预期动作的起始和方向可为慢性中风患者恢复简单抓握功能提供依据，或者可用于优化用户与周围环境的交互。检测实际动作的起始和方向是朝着这个方向迈出的第一步。在本研究中，我们证明了可以利用从人类皮层表面记录的脑电信号（ECoG）来检测预期动作的起始及其方向。我们还在模拟中表明，ECoG中编码的关于这些动作的信息可能会提高目标任务的表现。总之，本文的结果表明检测预期动作是可行的，并且可能发挥有用的作用。
