Decoding onset and direction of movements using Electrocorticographic (ECoG) signals in humans.

Frontiers in neuroengineering Pub Date : 2012-08-08 eCollection Date: 2012-01-01 DOI:10.3389/fneng.2012.00015
Zuoguan Wang, Aysegul Gunduz, Peter Brunner, Anthony L Ritaccio, Qiang Ji, Gerwin Schalk
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引用次数: 69

Abstract

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.

Abstract Image

Abstract Image

Abstract Image

使用脑皮层电图(ECoG)信号解码人类运动的开始和方向。
意图的交流通常需要运动功能。当一个人从事一项任务时,这个要求可能是有限的,或者对一些患有神经肌肉疾病的人来说是禁止的。通过大脑信号而不是肌肉信号来确定一个人的意图,例如,在哪里和何时移动,将在临床或其他领域有重要的应用。例如,检测预期运动的开始和方向可以为慢性中风患者恢复简单的抓取功能提供基础,或者可以用于优化用户与周围环境的交互。探测实际运动的开始和方向是朝着这个方向迈出的第一步。在这项研究中,我们证明了我们可以使用从人类皮层表面记录的皮质电图(ECoG)信号来检测预期运动的开始及其方向。我们还在模拟中证明了ECoG中编码的关于这些运动的信息可以提高目标任务的性能。总之,本文的结果表明,有意运动的检测是可能的,并可能提供有用的功能。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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