使用来自频带特定的ECoG的幅度调制来解码指状导通
Decoding Finger Flexion using amplitude modulation from band-specific ECoG
摘要：
在过去的几十年里，脑电脑机接口已经得到了很好的研究，并实现了几个著名的应用，如P300拼写器和轮椅控制器。然而，这些接口是间接的，由于低空间分辨率的EEG。最近，直接ECoG-BCI吸引了广泛的关注，因为ECoG提供了更高的空间分辨率和信号质量。这使得定位神经信号源相对于某些大脑功能成为可能。在这篇文章中，我们提出了一个实现的ECoG-BCI的手指屈曲预测提供的BCI竞争IV。本文提出了手指屈曲预测的方法，包括特征提取和选择。结果表明，当我们使用特定频带的幅度调制时，预测的手指运动与真实运动高度相关。
英文摘要：
EEG-BCIs have been well studied in the past decades and implemented into several famous applications, like P300 speller and wheelchair controller. However, these interfaces are indirect due to low spatial resolution of EEG. Recently, direct ECoG-BCIs attract intensive attention because ECoG provides a higher spatial resolution and signal quality. This makes possible localization of the source of neural signals with respect to certain brain functions. In this article, we present a realization of ECoG-BCIs for finger flexion prediction provided by BCI competition IV. Methods for finger flexion prediction including feature extraction and selection are provided in this article. Results show that the predicted finger movement is highly correlated with the true movement when we use band-specific amplitude modulation.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
